Merge pull request #552 from khoj-ai/features/internet-enabled-search

Support internet-enabled, online searching using Serper.dev

src/interface/desktop/chat.html

@@ -60,6 +60,52 @@
             return referenceButton;
         }
 
+        function generateOnlineReference(reference, index) {
+
+            // Generate HTML for Chat Reference
+            let title = reference.title;
+            let link = reference.link;
+            let snippet = reference.snippet;
+            let question = reference.question;
+            if (question) {
+                question = `<b>Question:</b> ${question}<br><br>`;
+            } else {
+                question = "";
+            }
+
+            let linkElement = document.createElement('a');
+            linkElement.setAttribute('href', link);
+            linkElement.setAttribute('target', '_blank');
+            linkElement.setAttribute('rel', 'noopener noreferrer');
+            linkElement.classList.add("inline-chat-link");
+            linkElement.classList.add("reference-link");
+            linkElement.setAttribute('title', title);
+            linkElement.innerHTML = title;
+
+            let referenceButton = document.createElement('button');
+            referenceButton.innerHTML = linkElement.outerHTML;
+            referenceButton.id = `ref-${index}`;
+            referenceButton.classList.add("reference-button");
+            referenceButton.classList.add("collapsed");
+            referenceButton.tabIndex = 0;
+
+            // Add event listener to toggle full reference on click
+            referenceButton.addEventListener('click', function() {
+                console.log(`Toggling ref-${index}`)
+                if (this.classList.contains("collapsed")) {
+                    this.classList.remove("collapsed");
+                    this.classList.add("expanded");
+                    this.innerHTML = linkElement.outerHTML + `<br><br>${question + snippet}`;
+                } else {
+                    this.classList.add("collapsed");
+                    this.classList.remove("expanded");
+                    this.innerHTML = linkElement.outerHTML;
+                }
+            });
+
+            return referenceButton;
+        }
+
         function renderMessage(message, by, dt=null, annotations=null) {
             let message_time = formatDate(dt ?? new Date());
             let by_name =  by == "khoj" ? "🏮 Khoj" : "🤔 You";
@@ -90,8 +136,48 @@
             chatBody.scrollTop = chatBody.scrollHeight;
         }
 
-        function renderMessageWithReference(message, by, context=null, dt=null) {
-            if (context == null || context.length == 0) {
+        function processOnlineReferences(referenceSection, onlineContext) {
+            let numOnlineReferences = 0;
+            for (let subquery in onlineContext) {
+                let onlineReference = onlineContext[subquery];
+                if (onlineReference.organic && onlineReference.organic.length > 0) {
+                    numOnlineReferences += onlineReference.organic.length;
+                    for (let index in onlineReference.organic) {
+                        let reference = onlineReference.organic[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+
+                if (onlineReference.knowledgeGraph && onlineReference.knowledgeGraph.length > 0) {
+                    numOnlineReferences += onlineReference.knowledgeGraph.length;
+                    for (let index in onlineReference.knowledgeGraph) {
+                        let reference = onlineReference.knowledgeGraph[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+
+                if (onlineReference.peopleAlsoAsk && onlineReference.peopleAlsoAsk.length > 0) {
+                    numOnlineReferences += onlineReference.peopleAlsoAsk.length;
+                    for (let index in onlineReference.peopleAlsoAsk) {
+                        let reference = onlineReference.peopleAlsoAsk[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+            }
+
+            return numOnlineReferences;
+        }
+
+        function renderMessageWithReference(message, by, context=null, dt=null, onlineContext=null) {
+            if (context == null && onlineContext == null) {
+                renderMessage(message, by, dt);
+                return;
+            }
+
+            if ((context && context.length == 0) && (onlineContext == null || (onlineContext && Object.keys(onlineContext).length == 0))) {
                 renderMessage(message, by, dt);
                 return;
             }
@@ -100,8 +186,11 @@
 
             let referenceExpandButton = document.createElement('button');
             referenceExpandButton.classList.add("reference-expand-button");
-            let expandButtonText = context.length == 1 ? "1 reference" : `${context.length} references`;
-            referenceExpandButton.innerHTML = expandButtonText;
+            let numReferences = 0;
+
+            if (context) {
+                numReferences += context.length;
+            }
 
             references.appendChild(referenceExpandButton);
 
@@ -127,6 +216,14 @@
                     referenceSection.appendChild(polishedReference);
                 }
             }
+
+            if (onlineContext) {
+                numReferences += processOnlineReferences(referenceSection, onlineContext);
+            }
+
+            let expandButtonText = numReferences == 1 ? "1 reference" : `${numReferences} references`;
+            referenceExpandButton.innerHTML = expandButtonText;
+
             references.appendChild(referenceSection);
 
             renderMessage(message, by, dt, references);
@@ -140,6 +237,8 @@
             newHTML = newHTML.replace(/__([\s\S]*?)__/g, '<u>$1</u>');
             // Remove any text between <s>[INST] and </s> tags. These are spurious instructions for the AI chat model.
             newHTML = newHTML.replace(/<s>\[INST\].+(<\/s>)?/g, '');
+            // For any text that has single backticks, replace them with <code> tags
+            newHTML = newHTML.replace(/`([^`]+)`/g, '<code class="chat-response">$1</code>');
             return newHTML;
         }
 
@@ -221,15 +320,28 @@
 
                                 let referenceExpandButton = document.createElement('button');
                                 referenceExpandButton.classList.add("reference-expand-button");
-                                let expandButtonText = rawReferenceAsJson.length == 1 ? "1 reference" : `${rawReferenceAsJson.length} references`;
-                                referenceExpandButton.innerHTML = expandButtonText;
 
-                                references.appendChild(referenceExpandButton);
 
                                 let referenceSection = document.createElement('div');
                                 referenceSection.classList.add("reference-section");
                                 referenceSection.classList.add("collapsed");
 
+                                let numReferences = 0;
+
+                                // If rawReferenceAsJson is a list, then count the length
+                                if (Array.isArray(rawReferenceAsJson)) {
+                                    numReferences = rawReferenceAsJson.length;
+
+                                    rawReferenceAsJson.forEach((reference, index) => {
+                                    let polishedReference = generateReference(reference, index);
+                                    referenceSection.appendChild(polishedReference);
+                                });
+                                } else {
+                                    numReferences += processOnlineReferences(referenceSection, rawReferenceAsJson);
+                                }
+
+                                references.appendChild(referenceExpandButton);
+
                                 referenceExpandButton.addEventListener('click', function() {
                                     if (referenceSection.classList.contains("collapsed")) {
                                         referenceSection.classList.remove("collapsed");
@@ -240,10 +352,8 @@
                                     }
                                 });
 
-                                rawReferenceAsJson.forEach((reference, index) => {
-                                    let polishedReference = generateReference(reference, index);
-                                    referenceSection.appendChild(polishedReference);
-                                });
+                                let expandButtonText = numReferences == 1 ? "1 reference" : `${numReferences} references`;
+                                referenceExpandButton.innerHTML = expandButtonText;
                                 references.appendChild(referenceSection);
                                 readStream();
                             } else {
@@ -276,6 +386,9 @@
             let chatInput = document.getElementById("chat-input");
             chatInput.value = chatInput.value.trimStart();
 
+            let questionStarterSuggestions = document.getElementById("question-starters");
+            questionStarterSuggestions.style.display = "none";
+
             if (chatInput.value.startsWith("/") && chatInput.value.split(" ").length === 1) {
                 let chatTooltip = document.getElementById("chat-tooltip");
                 chatTooltip.style.display = "block";
@@ -324,7 +437,7 @@
             const khojToken = await window.tokenAPI.getToken();
             const headers = { 'Authorization': `Bearer ${khojToken}` };
 
-            fetch(`${hostURL}/api/chat/history?client=web`, { headers })
+            fetch(`${hostURL}/api/chat/history?client=desktop`, { headers })
                 .then(response => response.json())
                 .then(data => {
                     if (data.detail) {
@@ -351,13 +464,38 @@
                 .then(response => {
                     // Render conversation history, if any
                     response.forEach(chat_log => {
-                        renderMessageWithReference(chat_log.message, chat_log.by, chat_log.context, new Date(chat_log.created));
+                        renderMessageWithReference(chat_log.message, chat_log.by, chat_log.context, new Date(chat_log.created), chat_log.onlineContext);
                     });
                 })
                 .catch(err => {
                     return;
                 });
 
+            fetch(`${hostURL}/api/chat/starters?client=desktop`, { headers })
+                .then(response => response.json())
+                .then(data => {
+                    // Render chat options, if any
+                    if (data) {
+                        let questionStarterSuggestions = document.getElementById("question-starters");
+                        for (let index in data) {
+                            let questionStarter = data[index];
+                            let questionStarterButton = document.createElement('button');
+                            questionStarterButton.innerHTML = questionStarter;
+                            questionStarterButton.classList.add("question-starter");
+                            questionStarterButton.addEventListener('click', function() {
+                                questionStarterSuggestions.style.display = "none";
+                                document.getElementById("chat-input").value = questionStarter;
+                                chat();
+                            });
+                            questionStarterSuggestions.appendChild(questionStarterButton);
+                        }
+                        questionStarterSuggestions.style.display = "grid";
+                    }
+                })
+                .catch(err => {
+                    return;
+                });
+
             fetch(`${hostURL}/api/chat/options`, { headers })
                 .then(response => response.json())
                 .then(data => {
@@ -397,6 +535,9 @@
         <!-- Chat Body -->
         <div id="chat-body"></div>
 
+        <!-- Chat Suggestions -->
+        <div id="question-starters" style="display: none;"></div>
+
         <!-- Chat Footer -->
         <div id="chat-footer">
             <div id="chat-tooltip" style="display: none;"></div>
@@ -574,6 +715,38 @@
             margin: 10px;
         }
 
+        div#question-starters {
+            grid-template-columns: repeat(auto-fit, minmax(100px, 1fr));
+            grid-column-gap: 8px;
+        }
+
+        button.question-starter {
+            background: var(--background-color);
+            color: var(--main-text-color);
+            border: 1px solid var(--main-text-color);
+            border-radius: 5px;
+            padding: 5px;
+            font-size: 14px;
+            font-weight: 300;
+            line-height: 1.5em;
+            cursor: pointer;
+            transition: background 0.2s ease-in-out;
+            text-align: left;
+            max-height: 75px;
+            transition: max-height 0.3s ease-in-out;
+            overflow: hidden;
+        }
+
+        code.chat-response {
+            background: var(--primary-hover);
+            color: var(--primary-inverse);
+            border-radius: 5px;
+            padding: 5px;
+            font-size: 14px;
+            font-weight: 300;
+            line-height: 1.5em;
+        }
+
         button.reference-button {
             background: var(--background-color);
             color: var(--main-text-color);

src/khoj/database/adapters/__init__.py

@@ -1,42 +1,43 @@
 import math
-from typing import Optional, Type, List
-from datetime import date, datetime
+import random
 import secrets
-from typing import Type, List
-from datetime import date, timezone
+from datetime import date, datetime, timezone
+from typing import List, Optional, Type
 
-from django.db import models
+from asgiref.sync import sync_to_async
 from django.contrib.sessions.backends.db import SessionStore
-from pgvector.django import CosineDistance
-from django.db.models.manager import BaseManager
+from django.db import models
 from django.db.models import Q
+from django.db.models.manager import BaseManager
+from fastapi import HTTPException
+from pgvector.django import CosineDistance
 from torch import Tensor
 
-# Import sync_to_async from Django Channels
-from asgiref.sync import sync_to_async
-
-from fastapi import HTTPException
-
 from khoj.database.models import (
-    KhojUser,
+    ChatModelOptions,
+    Conversation,
+    Entry,
+    GithubConfig,
+    GithubRepoConfig,
     GoogleUser,
     KhojApiUser,
+    KhojUser,
     NotionConfig,
-    GithubConfig,
-    Entry,
-    GithubRepoConfig,
-    Conversation,
-    ChatModelOptions,
+    OfflineChatProcessorConversationConfig,
+    OpenAIProcessorConversationConfig,
     SearchModelConfig,
     Subscription,
     UserConversationConfig,
     OpenAIProcessorConversationConfig,
     OfflineChatProcessorConversationConfig,
+    ReflectiveQuestion,
 )
-from khoj.utils.helpers import generate_random_name
-from khoj.search_filter.word_filter import WordFilter
-from khoj.search_filter.file_filter import FileFilter
 from khoj.search_filter.date_filter import DateFilter
+from khoj.search_filter.file_filter import FileFilter
+from khoj.search_filter.word_filter import WordFilter
+from khoj.utils import state
+from khoj.utils.config import GPT4AllProcessorModel
+from khoj.utils.helpers import generate_random_name
 
 
 async def set_notion_config(token: str, user: KhojUser):
@@ -339,6 +340,45 @@ class ConversationAdapters:
     async def get_openai_chat_config():
         return await OpenAIProcessorConversationConfig.objects.filter().afirst()
 
+    @staticmethod
+    async def aget_conversation_starters(user: KhojUser):
+        all_questions = []
+        if await ReflectiveQuestion.objects.filter(user=user).aexists():
+            all_questions = await sync_to_async(ReflectiveQuestion.objects.filter(user=user).values_list)(
+                "question", flat=True
+            )
+
+        all_questions = await sync_to_async(ReflectiveQuestion.objects.filter(user=None).values_list)(
+            "question", flat=True
+        )
+
+        max_results = 3
+        all_questions = await sync_to_async(list)(all_questions)
+        if len(all_questions) < max_results:
+            return all_questions
+
+        return random.sample(all_questions, max_results)
+
+    @staticmethod
+    def get_valid_conversation_config(user: KhojUser):
+        offline_chat_config = ConversationAdapters.get_offline_chat_conversation_config()
+        conversation_config = ConversationAdapters.get_conversation_config(user)
+        if conversation_config is None:
+            conversation_config = ConversationAdapters.get_default_conversation_config()
+
+        if offline_chat_config and offline_chat_config.enabled and conversation_config.model_type == "offline":
+            if state.gpt4all_processor_config is None or state.gpt4all_processor_config.loaded_model is None:
+                state.gpt4all_processor_config = GPT4AllProcessorModel(conversation_config.chat_model)
+
+            return conversation_config
+
+        openai_chat_config = ConversationAdapters.get_openai_conversation_config()
+        if openai_chat_config and conversation_config.model_type == "openai":
+            return conversation_config
+
+        else:
+            raise ValueError("Invalid conversation config - either configure offline chat or openai chat")
+
 
 class EntryAdapters:
     word_filer = WordFilter()

src/khoj/database/migrations/0020_reflectivequestion.py

@@ -0,0 +1,36 @@
+# Generated by Django 4.2.7 on 2023-11-20 01:13
+
+from django.conf import settings
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0019_alter_googleuser_family_name_and_more"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="ReflectiveQuestion",
+            fields=[
+                ("id", models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name="ID")),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                ("question", models.CharField(max_length=500)),
+                (
+                    "user",
+                    models.ForeignKey(
+                        blank=True,
+                        default=None,
+                        null=True,
+                        on_delete=django.db.models.deletion.CASCADE,
+                        to=settings.AUTH_USER_MODEL,
+                    ),
+                ),
+            ],
+            options={
+                "abstract": False,
+            },
+        ),
+    ]

src/khoj/database/models/__init__.py

@@ -141,6 +141,11 @@ class Conversation(BaseModel):
     conversation_log = models.JSONField(default=dict)
 
 
+class ReflectiveQuestion(BaseModel):
+    question = models.CharField(max_length=500)
+    user = models.ForeignKey(KhojUser, on_delete=models.CASCADE, default=None, null=True, blank=True)
+
+
 class Entry(BaseModel):
     class EntryType(models.TextChoices):
         IMAGE = "image"

src/khoj/interface/web/chat.html

@@ -9,14 +9,15 @@
         <link rel="stylesheet" href="/static/assets/khoj.css">
     </head>
     <script type="text/javascript" src="/static/assets/utils.js"></script>
+    <script type="text/javascript" src="/static/assets/markdown-it.min.js"></script>
     <script>
         let welcome_message = `
 Hi, I am Khoj, your open, personal AI 👋🏽. I can help:
-• 🧠 Answer general knowledge questions
-• 💡 Be a sounding board for your ideas
-• 📜 Chat with your notes & documents
+- 🧠 Answer general knowledge questions
+- 💡 Be a sounding board for your ideas
+- 📜 Chat with your notes & documents
 
-Download the <a class='inline-chat-link' href='https://khoj.dev/downloads'>🖥️ Desktop app</a> to chat with your computer docs.
+Download the [🖥️ Desktop app](https://khoj.dev/downloads) to chat with your computer docs.
 
 To get started, just start typing below. You can also type / to see a list of commands.
 `.trim()
@@ -69,6 +70,52 @@ To get started, just start typing below. You can also type / to see a list of co
             return referenceButton;
         }
 
+        function generateOnlineReference(reference, index) {
+
+            // Generate HTML for Chat Reference
+            let title = reference.title;
+            let link = reference.link;
+            let snippet = reference.snippet;
+            let question = reference.question;
+            if (question) {
+                question = `<b>Question:</b> ${question}<br><br>`;
+            } else {
+                question = "";
+            }
+
+            let linkElement = document.createElement('a');
+            linkElement.setAttribute('href', link);
+            linkElement.setAttribute('target', '_blank');
+            linkElement.setAttribute('rel', 'noopener noreferrer');
+            linkElement.classList.add("inline-chat-link");
+            linkElement.classList.add("reference-link");
+            linkElement.setAttribute('title', title);
+            linkElement.innerHTML = title;
+
+            let referenceButton = document.createElement('button');
+            referenceButton.innerHTML = linkElement.outerHTML;
+            referenceButton.id = `ref-${index}`;
+            referenceButton.classList.add("reference-button");
+            referenceButton.classList.add("collapsed");
+            referenceButton.tabIndex = 0;
+
+            // Add event listener to toggle full reference on click
+            referenceButton.addEventListener('click', function() {
+                console.log(`Toggling ref-${index}`)
+                if (this.classList.contains("collapsed")) {
+                    this.classList.remove("collapsed");
+                    this.classList.add("expanded");
+                    this.innerHTML = linkElement.outerHTML + `<br><br>${question + snippet}`;
+                } else {
+                    this.classList.add("collapsed");
+                    this.classList.remove("expanded");
+                    this.innerHTML = linkElement.outerHTML;
+                }
+            });
+
+            return referenceButton;
+        }
+
         function renderMessage(message, by, dt=null, annotations=null) {
             let message_time = formatDate(dt ?? new Date());
             let by_name =  by == "khoj" ? "🏮 Khoj" : "🤔 You";
@@ -83,8 +130,7 @@ To get started, just start typing below. You can also type / to see a list of co
             // Create a new div for the chat message text and append it to the chat message
             let chatMessageText = document.createElement('div');
             chatMessageText.className = `chat-message-text ${by}`;
-            let textNode = document.createTextNode(formattedMessage);
-            chatMessageText.appendChild(textNode);
+            chatMessageText.appendChild(formattedMessage);
             chatMessage.appendChild(chatMessageText);
 
             // Append annotations div to the chat message
@@ -99,8 +145,48 @@ To get started, just start typing below. You can also type / to see a list of co
             chatBody.scrollTop = chatBody.scrollHeight;
         }
 
-        function renderMessageWithReference(message, by, context=null, dt=null) {
-            if (context == null || context.length == 0) {
+        function processOnlineReferences(referenceSection, onlineContext) {
+            let numOnlineReferences = 0;
+            for (let subquery in onlineContext) {
+                let onlineReference = onlineContext[subquery];
+                if (onlineReference.organic && onlineReference.organic.length > 0) {
+                    numOnlineReferences += onlineReference.organic.length;
+                    for (let index in onlineReference.organic) {
+                        let reference = onlineReference.organic[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+
+                if (onlineReference.knowledgeGraph && onlineReference.knowledgeGraph.length > 0) {
+                    numOnlineReferences += onlineReference.knowledgeGraph.length;
+                    for (let index in onlineReference.knowledgeGraph) {
+                        let reference = onlineReference.knowledgeGraph[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+
+                if (onlineReference.peopleAlsoAsk && onlineReference.peopleAlsoAsk.length > 0) {
+                    numOnlineReferences += onlineReference.peopleAlsoAsk.length;
+                    for (let index in onlineReference.peopleAlsoAsk) {
+                        let reference = onlineReference.peopleAlsoAsk[index];
+                        let polishedReference = generateOnlineReference(reference, index);
+                        referenceSection.appendChild(polishedReference);
+                    }
+                }
+        }
+
+            return numOnlineReferences;
+                    }
+
+        function renderMessageWithReference(message, by, context=null, dt=null, onlineContext=null) {
+            if (context == null && onlineContext == null) {
+                renderMessage(message, by, dt);
+                return;
+            }
+
+            if ((context && context.length == 0) && (onlineContext == null || (onlineContext && Object.keys(onlineContext).length == 0))) {
                 renderMessage(message, by, dt);
                 return;
             }
@@ -109,8 +195,11 @@ To get started, just start typing below. You can also type / to see a list of co
 
             let referenceExpandButton = document.createElement('button');
             referenceExpandButton.classList.add("reference-expand-button");
-            let expandButtonText = context.length == 1 ? "1 reference" : `${context.length} references`;
-            referenceExpandButton.innerHTML = expandButtonText;
+            let numReferences = 0;
+
+            if (context) {
+                numReferences += context.length;
+            }
 
             references.appendChild(referenceExpandButton);
 
@@ -136,20 +225,63 @@ To get started, just start typing below. You can also type / to see a list of co
                     referenceSection.appendChild(polishedReference);
                 }
             }
+
+            if (onlineContext) {
+                numReferences += processOnlineReferences(referenceSection, onlineContext);
+            }
+
+            let expandButtonText = numReferences == 1 ? "1 reference" : `${numReferences} references`;
+            referenceExpandButton.innerHTML = expandButtonText;
+
             references.appendChild(referenceSection);
 
             renderMessage(message, by, dt, references);
         }
 
         function formatHTMLMessage(htmlMessage) {
-            // Replace any ``` with <div class="programmatic-output">
-            let newHTML = htmlMessage.replace(/```([\s\S]*?)```/g, '<div class="programmatic-output"><button class="copy-button" onclick="copyProgrammaticOutput(event)">Copy</button>$1</div>');
-            // Replace any ** with <b> and __ with <u>
-            newHTML = newHTML.replace(/\*\*([\s\S]*?)\*\*/g, '<b>$1</b>');
-            newHTML = newHTML.replace(/__([\s\S]*?)__/g, '<u>$1</u>');
+            var md = window.markdownit();
+            let newHTML = htmlMessage;
+
             // Remove any text between <s>[INST] and </s> tags. These are spurious instructions for the AI chat model.
             newHTML = newHTML.replace(/<s>\[INST\].+(<\/s>)?/g, '');
-            return newHTML;
+
+            // Render markdown
+            newHTML = md.render(newHTML);
+            // Get any elements with a class that starts with "language"
+            let element = document.createElement('div');
+            element.innerHTML = newHTML;
+            let codeBlockElements = element.querySelectorAll('[class^="language-"]');
+            // For each element, add a parent div with the class "programmatic-output"
+            codeBlockElements.forEach((codeElement) => {
+                // Create the parent div
+                let parentDiv = document.createElement('div');
+                parentDiv.classList.add("programmatic-output");
+                // Add the parent div before the code element
+                codeElement.parentNode.insertBefore(parentDiv, codeElement);
+                // Move the code element into the parent div
+                parentDiv.appendChild(codeElement);
+                // Add a copy button to each element
+                let copyButton = document.createElement('button');
+                copyButton.classList.add("copy-button");
+                copyButton.innerHTML = "Copy";
+                copyButton.addEventListener('click', copyProgrammaticOutput);
+                codeElement.prepend(copyButton);
+            });
+
+            // Get all code elements that have no class.
+            let codeElements = element.querySelectorAll('code:not([class])');
+            codeElements.forEach((codeElement) => {
+                // Add the class "chat-response" to each element
+                codeElement.classList.add("chat-response");
+            });
+
+            let anchorElements = element.querySelectorAll('a');
+            anchorElements.forEach((anchorElement) => {
+                // Add the class "inline-chat-link" to each element
+                anchorElement.classList.add("inline-chat-link");
+            });
+
+            return element
         }
 
         function chat() {
@@ -205,7 +337,8 @@ To get started, just start typing below. You can also type / to see a list of co
                             if (done) {
                                 // Evaluate the contents of new_response_text.innerHTML after all the data has been streamed
                                 const currentHTML = newResponseText.innerHTML;
-                                newResponseText.innerHTML = formatHTMLMessage(currentHTML);
+                                newResponseText.innerHTML = "";
+                                newResponseText.appendChild(formatHTMLMessage(currentHTML));
                                 if (references != null) {
                                     newResponseText.appendChild(references);
                                 }
@@ -226,18 +359,30 @@ To get started, just start typing below. You can also type / to see a list of co
                                 references = document.createElement('div');
                                 references.classList.add("references");
 
-
                                 let referenceExpandButton = document.createElement('button');
                                 referenceExpandButton.classList.add("reference-expand-button");
-                                let expandButtonText = rawReferenceAsJson.length == 1 ? "1 reference" : `${rawReferenceAsJson.length} references`;
-                                referenceExpandButton.innerHTML = expandButtonText;
 
-                                references.appendChild(referenceExpandButton);
 
                                 let referenceSection = document.createElement('div');
                                 referenceSection.classList.add("reference-section");
                                 referenceSection.classList.add("collapsed");
 
+                                let numReferences = 0;
+
+                                // If rawReferenceAsJson is a list, then count the length
+                                if (Array.isArray(rawReferenceAsJson)) {
+                                    numReferences = rawReferenceAsJson.length;
+
+                                    rawReferenceAsJson.forEach((reference, index) => {
+                                    let polishedReference = generateReference(reference, index);
+                                    referenceSection.appendChild(polishedReference);
+                                });
+                                } else {
+                                    numReferences += processOnlineReferences(referenceSection, rawReferenceAsJson);
+                                }
+
+                                references.appendChild(referenceExpandButton);
+
                                 referenceExpandButton.addEventListener('click', function() {
                                     if (referenceSection.classList.contains("collapsed")) {
                                         referenceSection.classList.remove("collapsed");
@@ -248,10 +393,8 @@ To get started, just start typing below. You can also type / to see a list of co
                                     }
                                 });
 
-                                rawReferenceAsJson.forEach((reference, index) => {
-                                    let polishedReference = generateReference(reference, index);
-                                    referenceSection.appendChild(polishedReference);
-                                });
+                                let expandButtonText = numReferences == 1 ? "1 reference" : `${numReferences} references`;
+                                referenceExpandButton.innerHTML = expandButtonText;
                                 references.appendChild(referenceSection);
                                 readStream();
                             } else {
@@ -283,6 +426,9 @@ To get started, just start typing below. You can also type / to see a list of co
             let chatInput = document.getElementById("chat-input");
             chatInput.value = chatInput.value.trimStart();
 
+            let questionStarterSuggestions = document.getElementById("question-starters");
+            questionStarterSuggestions.style.display = "none";
+
             if (chatInput.value.startsWith("/") && chatInput.value.split(" ").length === 1) {
                 let chatTooltip = document.getElementById("chat-tooltip");
                 chatTooltip.style.display = "block";
@@ -342,7 +488,7 @@ To get started, just start typing below. You can also type / to see a list of co
                 .then(response => {
                     // Render conversation history, if any
                     response.forEach(chat_log => {
-                        renderMessageWithReference(chat_log.message, chat_log.by, chat_log.context, new Date(chat_log.created));
+                        renderMessageWithReference(chat_log.message, chat_log.by, chat_log.context, new Date(chat_log.created), chat_log.onlineContext);
                     });
                 })
                 .catch(err => {
@@ -362,6 +508,31 @@ To get started, just start typing below. You can also type / to see a list of co
                     return;
                 });
 
+            fetch('/api/chat/starters')
+                .then(response => response.json())
+                .then(data => {
+                    // Render chat options, if any
+                    if (data) {
+                        let questionStarterSuggestions = document.getElementById("question-starters");
+                        for (let index in data) {
+                            let questionStarter = data[index];
+                            let questionStarterButton = document.createElement('button');
+                            questionStarterButton.innerHTML = questionStarter;
+                            questionStarterButton.classList.add("question-starter");
+                            questionStarterButton.addEventListener('click', function() {
+                                questionStarterSuggestions.style.display = "none";
+                                document.getElementById("chat-input").value = questionStarter;
+                                chat();
+                            });
+                            questionStarterSuggestions.appendChild(questionStarterButton);
+                        }
+                        questionStarterSuggestions.style.display = "grid";
+                    }
+                })
+                .catch(err => {
+                    return;
+                });
+
             // Fill query field with value passed in URL query parameters, if any.
             var query_via_url = new URLSearchParams(window.location.search).get("q");
             if (query_via_url) {
@@ -381,6 +552,9 @@ To get started, just start typing below. You can also type / to see a list of co
         <!-- Chat Body -->
         <div id="chat-body"></div>
 
+        <!-- Chat Suggestions -->
+        <div id="question-starters" style="display: none;"></div>
+
         <!-- Chat Footer -->
         <div id="chat-footer">
             <div id="chat-tooltip" style="display: none;"></div>
@@ -441,6 +615,28 @@ To get started, just start typing below. You can also type / to see a list of co
             margin: 10px;
         }
 
+        div#question-starters {
+            grid-template-columns: repeat(auto-fit, minmax(100px, 1fr));
+            grid-column-gap: 8px;
+        }
+
+        button.question-starter {
+            background: var(--background-color);
+            color: var(--main-text-color);
+            border: 1px solid var(--main-text-color);
+            border-radius: 5px;
+            padding: 5px;
+            font-size: 14px;
+            font-weight: 300;
+            line-height: 1.5em;
+            cursor: pointer;
+            transition: background 0.2s ease-in-out;
+            text-align: left;
+            max-height: 75px;
+            transition: max-height 0.3s ease-in-out;
+            overflow: hidden;
+        }
+
         button.reference-button {
             background: var(--background-color);
             color: var(--main-text-color);
@@ -491,6 +687,16 @@ To get started, just start typing below. You can also type / to see a list of co
             background: var(--primary-hover);
         }
 
+        code.chat-response {
+            background: var(--primary-hover);
+            color: var(--primary-inverse);
+            border-radius: 5px;
+            padding: 5px;
+            font-size: 14px;
+            font-weight: 300;
+            line-height: 1.5em;
+        }
+
         #chat-body {
             font-size: medium;
             margin: 0px;
@@ -626,6 +832,22 @@ To get started, just start typing below. You can also type / to see a list of co
             border-bottom: 1px dotted var(--main-text-color);
         }
 
+        a.reference-link {
+            color: var(--main-text-color);
+            border-bottom: 1px dotted var(--main-text-color);
+        }
+
+        button.copy-button {
+            display: block;
+            border-radius: 4px;
+            background-color: var(--background-color);
+        }
+
+        button.copy-button:hover {
+            background: #f5f5f5;
+            cursor: pointer;
+        }
+
         @media (pointer: coarse), (hover: none) {
             abbr[title] {
                 position: relative;
@@ -699,6 +921,10 @@ To get started, just start typing below. You can also type / to see a list of co
             padding: 0px;
         }
 
+        p {
+            margin: 0;
+        }
+
         div.programmatic-output {
             background-color: #f5f5f5;
             border: 1px solid #ddd;

src/khoj/processor/content/github/github_to_entries.py

@@ -2,19 +2,20 @@
 import logging
 import time
 from datetime import datetime
-from typing import Dict, List, Union, Tuple
+from typing import Dict, List, Tuple, Union
 
 # External Packages
 import requests
 
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import GithubConfig, KhojUser
+from khoj.processor.content.markdown.markdown_to_entries import MarkdownToEntries
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+from khoj.processor.content.text_to_entries import TextToEntries
+
 # Internal Packages
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry, GithubContentConfig, GithubRepoConfig
-from khoj.processor.markdown.markdown_to_entries import MarkdownToEntries
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.processor.text_to_entries import TextToEntries
-from khoj.database.models import Entry as DbEntry, GithubConfig, KhojUser
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/content/markdown/markdown_to_entries.py

@@ -1,17 +1,19 @@
 # Standard Packages
 import logging
 import re
-import urllib3
 from pathlib import Path
-from typing import Tuple, List
+from typing import List, Tuple
+
+import urllib3
+
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import KhojUser
 
 # Internal Packages
-from khoj.processor.text_to_entries import TextToEntries
-from khoj.utils.helpers import timer
+from khoj.processor.content.text_to_entries import TextToEntries
 from khoj.utils.constants import empty_escape_sequences
+from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry
-from khoj.database.models import Entry as DbEntry, KhojUser
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/content/notion/notion_to_entries.py

@@ -1,19 +1,18 @@
 # Standard Packages
 import logging
+from enum import Enum
 from typing import Tuple
 
 # External Packages
 import requests
 
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import KhojUser, NotionConfig
+from khoj.processor.content.text_to_entries import TextToEntries
+
 # Internal Packages
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry, NotionContentConfig
-from khoj.processor.text_to_entries import TextToEntries
-from khoj.utils.rawconfig import Entry
-from khoj.database.models import Entry as DbEntry, KhojUser, NotionConfig
-
-from enum import Enum
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/content/org_mode/org_to_entries.py

@@ -3,14 +3,15 @@ import logging
 from pathlib import Path
 from typing import Iterable, List, Tuple
 
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import KhojUser
+
 # Internal Packages
-from khoj.processor.org_mode import orgnode
-from khoj.processor.text_to_entries import TextToEntries
+from khoj.processor.content.org_mode import orgnode
+from khoj.processor.content.text_to_entries import TextToEntries
+from khoj.utils import state
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry
-from khoj.utils import state
-from khoj.database.models import Entry as DbEntry, KhojUser
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/content/pdf/pdf_to_entries.py

@@ -1,18 +1,19 @@
 # Standard Packages
-import os
-import logging
-from typing import List, Tuple
 import base64
+import logging
+import os
+from typing import List, Tuple
 
 # External Packages
 from langchain.document_loaders import PyMuPDFLoader
 
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import KhojUser
+
 # Internal Packages
-from khoj.processor.text_to_entries import TextToEntries
+from khoj.processor.content.text_to_entries import TextToEntries
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry
-from khoj.database.models import Entry as DbEntry, KhojUser
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/content/plaintext/plaintext_to_entries.py

@@ -2,15 +2,16 @@
 import logging
 from pathlib import Path
 from typing import List, Tuple
+
 from bs4 import BeautifulSoup
 
+from khoj.database.models import Entry as DbEntry
+from khoj.database.models import KhojUser
 
 # Internal Packages
-from khoj.processor.text_to_entries import TextToEntries
+from khoj.processor.content.text_to_entries import TextToEntries
 from khoj.utils.helpers import timer
 from khoj.utils.rawconfig import Entry
-from khoj.database.models import Entry as DbEntry, KhojUser
-
 
 logger = logging.getLogger(__name__)
 

src/khoj/processor/conversation/gpt4all/chat_model.py

@@ -121,6 +121,7 @@ def filter_questions(questions: List[str]):
 
 def converse_offline(
     references,
+    online_results,
     user_query,
     conversation_log={},
     model: str = "mistral-7b-instruct-v0.1.Q4_0.gguf",
@@ -147,6 +148,13 @@ def converse_offline(
     # Get Conversation Primer appropriate to Conversation Type
     if conversation_command == ConversationCommand.Notes and is_none_or_empty(compiled_references_message):
         return iter([prompts.no_notes_found.format()])
+    elif conversation_command == ConversationCommand.Online and is_none_or_empty(online_results):
+        completion_func(chat_response=prompts.no_online_results_found.format())
+        return iter([prompts.no_online_results_found.format()])
+    elif conversation_command == ConversationCommand.Online:
+        conversation_primer = prompts.online_search_conversation.format(
+            query=user_query, online_results=str(online_results)
+        )
     elif conversation_command == ConversationCommand.General or is_none_or_empty(compiled_references_message):
         conversation_primer = user_query
     else:
@@ -164,20 +172,13 @@ def converse_offline(
         tokenizer_name=tokenizer_name,
     )
 
-    g = ThreadedGenerator(references, completion_func=completion_func)
+    g = ThreadedGenerator(references, online_results, completion_func=completion_func)
     t = Thread(target=llm_thread, args=(g, messages, gpt4all_model))
     t.start()
     return g
 
 
 def llm_thread(g, messages: List[ChatMessage], model: Any):
-    try:
-        from gpt4all import GPT4All
-    except ModuleNotFoundError as e:
-        logger.info("There was an error importing GPT4All. Please run pip install gpt4all in order to install it.")
-        raise e
-
-    assert isinstance(model, GPT4All), "model should be of type GPT4All"
     user_message = messages[-1]
     system_message = messages[0]
     conversation_history = messages[1:-1]
@@ -196,7 +197,7 @@ def llm_thread(g, messages: List[ChatMessage], model: Any):
     prompted_message = templated_system_message + chat_history + templated_user_message
 
     state.chat_lock.acquire()
-    response_iterator = model.generate(prompted_message, streaming=True, max_tokens=500, n_batch=512)
+    response_iterator = send_message_to_model_offline(prompted_message, loaded_model=model, streaming=True)
     try:
         for response in response_iterator:
             if any(stop_word in response.strip() for stop_word in stop_words):
@@ -206,3 +207,18 @@ def llm_thread(g, messages: List[ChatMessage], model: Any):
     finally:
         state.chat_lock.release()
     g.close()
+
+
+def send_message_to_model_offline(
+    message, loaded_model=None, model="mistral-7b-instruct-v0.1.Q4_0.gguf", streaming=False
+):
+    try:
+        from gpt4all import GPT4All
+    except ModuleNotFoundError as e:
+        logger.info("There was an error importing GPT4All. Please run pip install gpt4all in order to install it.")
+        raise e
+
+    assert loaded_model is None or isinstance(loaded_model, GPT4All), "loaded_model must be of type GPT4All or None"
+    gpt4all_model = loaded_model or GPT4All(model)
+
+    return gpt4all_model.generate(message, max_tokens=200, top_k=2, temp=0, n_batch=512, streaming=streaming)

src/khoj/processor/conversation/openai/gpt.py

@@ -100,8 +100,30 @@ def extract_questions(
     return questions
 
 
+def send_message_to_model(
+    message,
+    api_key,
+    model,
+):
+    """
+    Send message to model
+    """
+    messages = [ChatMessage(content=message, role="assistant")]
+
+    # Get Response from GPT
+    return completion_with_backoff(
+        messages=messages,
+        model_name=model,
+        temperature=0,
+        max_tokens=100,
+        model_kwargs={"stop": ["A: ", "\n"]},
+        openai_api_key=api_key,
+    )
+
+
 def converse(
     references,
+    online_results,
     user_query,
     conversation_log={},
     model: str = "gpt-3.5-turbo",
@@ -123,6 +145,13 @@ def converse(
     if conversation_command == ConversationCommand.Notes and is_none_or_empty(compiled_references):
         completion_func(chat_response=prompts.no_notes_found.format())
         return iter([prompts.no_notes_found.format()])
+    elif conversation_command == ConversationCommand.Online and is_none_or_empty(online_results):
+        completion_func(chat_response=prompts.no_online_results_found.format())
+        return iter([prompts.no_online_results_found.format()])
+    elif conversation_command == ConversationCommand.Online:
+        conversation_primer = prompts.online_search_conversation.format(
+            query=user_query, online_results=str(online_results)
+        )
     elif conversation_command == ConversationCommand.General or is_none_or_empty(compiled_references):
         conversation_primer = prompts.general_conversation.format(query=user_query)
     else:
@@ -144,6 +173,7 @@ def converse(
     return chat_completion_with_backoff(
         messages=messages,
         compiled_references=references,
+        online_results=online_results,
         model_name=model,
         temperature=temperature,
         openai_api_key=api_key,

src/khoj/processor/conversation/openai/utils.py

@@ -69,9 +69,16 @@ def completion_with_backoff(**kwargs):
     reraise=True,
 )
 def chat_completion_with_backoff(
-    messages, compiled_references, model_name, temperature, openai_api_key=None, completion_func=None, model_kwargs=None
+    messages,
+    compiled_references,
+    online_results,
+    model_name,
+    temperature,
+    openai_api_key=None,
+    completion_func=None,
+    model_kwargs=None,
 ):
-    g = ThreadedGenerator(compiled_references, completion_func=completion_func)
+    g = ThreadedGenerator(compiled_references, online_results, completion_func=completion_func)
     t = Thread(target=llm_thread, args=(g, messages, model_name, temperature, openai_api_key, model_kwargs))
     t.start()
     return g

src/khoj/processor/conversation/prompts.py

@@ -10,7 +10,7 @@ You are Khoj, a smart, inquisitive and helpful personal assistant.
 Use your general knowledge and the past conversation with the user as context to inform your responses.
 You were created by Khoj Inc. with the following capabilities:
 
-- You *CAN REMEMBER ALL NOTES and PERSONAL INFORMATION FOREVER* that the user ever shares with you.
+- You *CAN REMEMBER ALL NOTES and PERSONAL INFORMATION FOREVER* that the user ever shares with you. They can share files with you using any Khoj client, including the native Desktop app, the Obsidian or Emacs plugins, or the web app.
 - You cannot set reminders.
 - Say "I don't know" or "I don't understand" if you don't know what to say or if you don't know the answer to a question.
 - Ask crisp follow-up questions to get additional context, when the answer cannot be inferred from the provided notes or past conversations.
@@ -35,6 +35,12 @@ no_notes_found = PromptTemplate.from_template(
     """.strip()
 )
 
+no_online_results_found = PromptTemplate.from_template(
+    """
+    I'm sorry, I couldn't find any relevant information from the internet to respond to your message.
+    """.strip()
+)
+
 no_entries_found = PromptTemplate.from_template(
     """
     It looks like you haven't added any notes yet. No worries, you can fix that by downloading the Khoj app from <a href=https://khoj.dev/downloads>here</a>.
@@ -103,6 +109,45 @@ Question: {query}
 """.strip()
 )
 
+## Online Search Conversation
+## --
+online_search_conversation = PromptTemplate.from_template(
+    """
+Use this up-to-date information from the internet to inform your response.
+Ask crisp follow-up questions to get additional context, when a helpful response cannot be provided from the online data or past conversations.
+
+Information from the internet: {online_results}
+
+Query: {query}""".strip()
+)
+
+online_search_conversation_subqueries = PromptTemplate.from_template(
+    """
+The user has a question which you can use the internet to respond to. Can you break down the question into subqueries to get the correct answer? Provide search queries as a JSON list of strings
+
+Today's date in UTC: {current_date}
+
+Here are some examples of questions and subqueries:
+
+Q: Posts about vector databases on Hacker News
+A: ["site:"news.ycombinator.com vector database"]
+
+Q: What is the weather like in New York and San Francisco?
+A: ["weather in new york", "weather in san francisco"]
+
+Q: What is the latest news about Google stock?
+A: ["google stock news"]
+
+Q: When is the next lunar eclipse?
+A: ["next lunar eclipse"]
+
+Q: How many oranges would fit in NASA's Saturn V rocket?
+A: ["volume of an orange", "volume of saturn v rocket"]
+
+This is the user's query:
+Q: {query}
+A: """.strip()
+)
 
 ## Summarize Notes
 ## --

src/khoj/processor/conversation/utils.py

@@ -29,9 +29,10 @@ model_to_tokenizer = {
 
 
 class ThreadedGenerator:
-    def __init__(self, compiled_references, completion_func=None):
+    def __init__(self, compiled_references, online_results, completion_func=None):
         self.queue = queue.Queue()
         self.compiled_references = compiled_references
+        self.online_results = online_results
         self.completion_func = completion_func
         self.response = ""
         self.start_time = perf_counter()
@@ -62,6 +63,8 @@ class ThreadedGenerator:
     def close(self):
         if self.compiled_references and len(self.compiled_references) > 0:
             self.queue.put(f"### compiled references:{json.dumps(self.compiled_references)}")
+        elif self.online_results and len(self.online_results) > 0:
+            self.queue.put(f"### compiled references:{json.dumps(self.online_results)}")
         self.queue.put(StopIteration)
 
 

src/khoj/processor/tools/online_search.py

@@ -0,0 +1,52 @@
+import requests
+import json
+import os
+import logging
+
+from khoj.routers.helpers import generate_online_subqueries
+
+logger = logging.getLogger(__name__)
+
+SERPER_DEV_API_KEY = os.getenv("SERPER_DEV_API_KEY")
+
+url = "https://google.serper.dev/search"
+
+
+async def search_with_google(query: str):
+    def _search_with_google(subquery: str):
+        payload = json.dumps(
+            {
+                "q": subquery,
+            }
+        )
+
+        headers = {"X-API-KEY": SERPER_DEV_API_KEY, "Content-Type": "application/json"}
+
+        response = requests.request("POST", url, headers=headers, data=payload)
+
+        if response.status_code != 200:
+            logger.error(response.text)
+            return {}
+
+        json_response = response.json()
+        sub_response_dict = {}
+        sub_response_dict["knowledgeGraph"] = json_response.get("knowledgeGraph", {})
+        sub_response_dict["organic"] = json_response.get("organic", [])
+        sub_response_dict["answerBox"] = json_response.get("answerBox", [])
+        sub_response_dict["peopleAlsoAsk"] = json_response.get("peopleAlsoAsk", [])
+
+        return sub_response_dict
+
+    if SERPER_DEV_API_KEY is None:
+        raise ValueError("SERPER_DEV_API_KEY is not set")
+
+    # Breakdown the query into subqueries to get the correct answer
+    subqueries = await generate_online_subqueries(query)
+
+    response_dict = {}
+
+    for subquery in subqueries:
+        logger.info(f"Searching with Google for '{subquery}'")
+        response_dict[subquery] = _search_with_google(subquery)
+
+    return response_dict

src/khoj/routers/api.py

@@ -1,63 +1,63 @@
 # Standard Packages
 import concurrent.futures
+import json
+import logging
 import math
 import time
-import logging
-import json
-from typing import Annotated, List, Optional, Union, Any
+from typing import Any, Dict, List, Optional, Union
+
+from asgiref.sync import sync_to_async
 
 # External Packages
-from fastapi import APIRouter, Depends, HTTPException, Header, Request
+from fastapi import APIRouter, Depends, Header, HTTPException, Request
+from fastapi.requests import Request
+from fastapi.responses import Response, StreamingResponse
 from starlette.authentication import requires
-from asgiref.sync import sync_to_async
 
 # Internal Packages
 from khoj.configure import configure_server
-from khoj.search_type import image_search, text_search
-from khoj.search_filter.date_filter import DateFilter
-from khoj.search_filter.file_filter import FileFilter
-from khoj.search_filter.word_filter import WordFilter
-from khoj.utils.config import TextSearchModel, GPT4AllProcessorModel
-from khoj.utils.helpers import ConversationCommand, is_none_or_empty, timer, command_descriptions
-from khoj.utils.rawconfig import (
-    FullConfig,
-    SearchConfig,
-    SearchResponse,
-    GithubContentConfig,
-    NotionContentConfig,
-)
-from khoj.utils.state import SearchType
-from khoj.utils import state, constants
-from khoj.utils.helpers import AsyncIteratorWrapper, get_device
-from fastapi.responses import StreamingResponse, Response
-from khoj.routers.helpers import (
-    CommonQueryParams,
-    get_conversation_command,
-    validate_conversation_config,
-    agenerate_chat_response,
-    update_telemetry_state,
-    is_ready_to_chat,
-    ApiUserRateLimiter,
-)
-from khoj.processor.conversation.prompts import help_message, no_entries_found
-from khoj.processor.conversation.openai.gpt import extract_questions
-from khoj.processor.conversation.gpt4all.chat_model import extract_questions_offline
-from fastapi.requests import Request
-
 from khoj.database import adapters
-from khoj.database.adapters import EntryAdapters, ConversationAdapters
+from khoj.database.adapters import ConversationAdapters, EntryAdapters
+from khoj.database.models import ChatModelOptions
+from khoj.database.models import Entry as DbEntry
 from khoj.database.models import (
+    GithubConfig,
+    KhojUser,
     LocalMarkdownConfig,
     LocalOrgConfig,
     LocalPdfConfig,
     LocalPlaintextConfig,
-    KhojUser,
-    Entry as DbEntry,
-    GithubConfig,
     NotionConfig,
-    ChatModelOptions,
 )
-
+from khoj.processor.conversation.gpt4all.chat_model import extract_questions_offline
+from khoj.processor.conversation.openai.gpt import extract_questions
+from khoj.processor.conversation.prompts import help_message, no_entries_found
+from khoj.processor.tools.online_search import search_with_google
+from khoj.routers.helpers import (
+    ApiUserRateLimiter,
+    CommonQueryParams,
+    agenerate_chat_response,
+    get_conversation_command,
+    is_ready_to_chat,
+    update_telemetry_state,
+    validate_conversation_config,
+)
+from khoj.search_filter.date_filter import DateFilter
+from khoj.search_filter.file_filter import FileFilter
+from khoj.search_filter.word_filter import WordFilter
+from khoj.search_type import image_search, text_search
+from khoj.utils import constants, state
+from khoj.utils.config import GPT4AllProcessorModel, TextSearchModel
+from khoj.utils.helpers import (
+    AsyncIteratorWrapper,
+    ConversationCommand,
+    command_descriptions,
+    get_device,
+    is_none_or_empty,
+    timer,
+)
+from khoj.utils.rawconfig import FullConfig, GithubContentConfig, NotionContentConfig, SearchConfig, SearchResponse
+from khoj.utils.state import SearchType
 
 # Initialize Router
 api = APIRouter()
@@ -512,6 +512,17 @@ def update(
     return {"status": "ok", "message": "khoj reloaded"}
 
 
+@api.get("/chat/starters", response_class=Response)
+@requires(["authenticated"])
+async def chat_starters(
+    request: Request,
+    common: CommonQueryParams,
+) -> Response:
+    user: KhojUser = request.user.object
+    starter_questions = await ConversationAdapters.aget_conversation_starters(user)
+    return Response(content=json.dumps(starter_questions), media_type="application/json", status_code=200)
+
+
 @api.get("/chat/history")
 @requires(["authenticated"])
 def chat_history(
@@ -577,6 +588,7 @@ async def chat(
     compiled_references, inferred_queries, defiltered_query = await extract_references_and_questions(
         request, common, meta_log, q, (n or 5), (d or math.inf), conversation_command
     )
+    online_results: Dict = dict()
 
     if conversation_command == ConversationCommand.Default and is_none_or_empty(compiled_references):
         conversation_command = ConversationCommand.General
@@ -593,11 +605,22 @@ async def chat(
         no_entries_found_format = no_entries_found.format()
         return StreamingResponse(iter([no_entries_found_format]), media_type="text/event-stream", status_code=200)
 
+    elif conversation_command == ConversationCommand.Online:
+        try:
+            online_results = await search_with_google(defiltered_query)
+        except ValueError as e:
+            return StreamingResponse(
+                iter(["Please set your SERPER_DEV_API_KEY to get started with online searches 🌐"]),
+                media_type="text/event-stream",
+                status_code=200,
+            )
+
     # Get the (streamed) chat response from the LLM of choice.
     llm_response, chat_metadata = await agenerate_chat_response(
         defiltered_query,
         meta_log,
         compiled_references,
+        online_results,
         inferred_queries,
         conversation_command,
         user,
@@ -650,7 +673,7 @@ async def extract_references_and_questions(
     compiled_references: List[Any] = []
     inferred_queries: List[str] = []
 
-    if conversation_type == ConversationCommand.General:
+    if conversation_type == ConversationCommand.General or conversation_type == ConversationCommand.Online:
         return compiled_references, inferred_queries, q
 
     if not await sync_to_async(EntryAdapters.user_has_entries)(user=user):

src/khoj/routers/helpers.py

@@ -1,26 +1,28 @@
 # Standard Packages
 import asyncio
+import json
+import logging
 from collections import defaultdict
 from concurrent.futures import ThreadPoolExecutor
 from datetime import datetime
 from functools import partial
-import logging
 from time import time
-from typing import Annotated, Iterator, List, Optional, Union, Tuple, Dict
+from typing import Annotated, Any, Dict, Iterator, List, Optional, Tuple, Union
 
 # External Packages
-from fastapi import HTTPException, Header, Request, Depends
+from fastapi import Depends, Header, HTTPException, Request
+
+from khoj.database.adapters import ConversationAdapters
+from khoj.database.models import KhojUser, Subscription
+from khoj.processor.conversation import prompts
+from khoj.processor.conversation.gpt4all.chat_model import converse_offline, send_message_to_model_offline
+from khoj.processor.conversation.openai.gpt import converse, send_message_to_model
+from khoj.processor.conversation.utils import ThreadedGenerator, message_to_log
 
 # Internal Packages
 from khoj.utils import state
 from khoj.utils.config import GPT4AllProcessorModel
 from khoj.utils.helpers import ConversationCommand, log_telemetry
-from khoj.processor.conversation.openai.gpt import converse
-from khoj.processor.conversation.gpt4all.chat_model import converse_offline
-from khoj.processor.conversation.utils import message_to_log, ThreadedGenerator
-from khoj.database.models import KhojUser, Subscription
-from khoj.database.adapters import ConversationAdapters
-
 
 logger = logging.getLogger(__name__)
 
@@ -96,6 +98,8 @@ def get_conversation_command(query: str, any_references: bool = False) -> Conver
         return ConversationCommand.Help
     elif query.startswith("/general"):
         return ConversationCommand.General
+    elif query.startswith("/online"):
+        return ConversationCommand.Online
     # If no relevant notes found for the given query
     elif not any_references:
         return ConversationCommand.General
@@ -112,10 +116,70 @@ async def agenerate_chat_response(*args):
     return await loop.run_in_executor(executor, generate_chat_response, *args)
 
 
+async def generate_online_subqueries(q: str) -> List[str]:
+    """
+    Generate subqueries from the given query
+    """
+    utc_date = datetime.utcnow().strftime("%Y-%m-%d")
+    online_queries_prompt = prompts.online_search_conversation_subqueries.format(
+        current_date=utc_date,
+        query=q,
+    )
+
+    response = await send_message_to_model_wrapper(online_queries_prompt)
+
+    # Validate that the response is a non-empty, JSON-serializable list
+    try:
+        response = response.strip()
+        response = json.loads(response)
+        response = [q.strip() for q in response if q.strip()]
+        if not isinstance(response, list) or not response or len(response) == 0:
+            logger.error(f"Invalid response for constructing subqueries: {response}")
+            return [q]
+        return response
+    except Exception as e:
+        logger.error(f"Invalid response for constructing subqueries: {response}")
+        return [q]
+
+
+async def send_message_to_model_wrapper(
+    message: str,
+):
+    conversation_config = await ConversationAdapters.aget_default_conversation_config()
+
+    if conversation_config is None:
+        raise HTTPException(status_code=500, detail="Contact the server administrator to set a default chat model.")
+
+    if conversation_config.model_type == "offline":
+        if state.gpt4all_processor_config is None or state.gpt4all_processor_config.loaded_model is None:
+            state.gpt4all_processor_config = GPT4AllProcessorModel(conversation_config.chat_model)
+
+        loaded_model = state.gpt4all_processor_config.loaded_model
+        return send_message_to_model_offline(
+            message=message,
+            loaded_model=loaded_model,
+            model=conversation_config.chat_model,
+            streaming=False,
+        )
+
+    elif conversation_config.model_type == "openai":
+        openai_chat_config = await ConversationAdapters.aget_openai_conversation_config()
+        api_key = openai_chat_config.api_key
+        chat_model = conversation_config.chat_model
+        return send_message_to_model(
+            message=message,
+            api_key=api_key,
+            model=chat_model,
+        )
+    else:
+        raise HTTPException(status_code=500, detail="Invalid conversation config")
+
+
 def generate_chat_response(
     q: str,
     meta_log: dict,
     compiled_references: List[str] = [],
+    online_results: Dict[str, Any] = {},
     inferred_queries: List[str] = [],
     conversation_command: ConversationCommand = ConversationCommand.Default,
     user: KhojUser = None,
@@ -125,6 +189,7 @@ def generate_chat_response(
         chat_response: str,
         user_message_time: str,
         compiled_references: List[str],
+        online_results: Dict[str, Any],
         inferred_queries: List[str],
         meta_log,
     ):
@@ -132,7 +197,11 @@ def generate_chat_response(
             user_message=q,
             chat_response=chat_response,
             user_message_metadata={"created": user_message_time},
-            khoj_message_metadata={"context": compiled_references, "intent": {"inferred-queries": inferred_queries}},
+            khoj_message_metadata={
+                "context": compiled_references,
+                "intent": {"inferred-queries": inferred_queries},
+                "onlineContext": online_results,
+            },
             conversation_log=meta_log.get("chat", []),
         )
         ConversationAdapters.save_conversation(user, {"chat": updated_conversation})
@@ -150,22 +219,20 @@ def generate_chat_response(
             q,
             user_message_time=user_message_time,
             compiled_references=compiled_references,
+            online_results=online_results,
             inferred_queries=inferred_queries,
             meta_log=meta_log,
         )
 
-        offline_chat_config = ConversationAdapters.get_offline_chat_conversation_config()
-        conversation_config = ConversationAdapters.get_conversation_config(user)
-        if conversation_config is None:
-            conversation_config = ConversationAdapters.get_default_conversation_config()
-        openai_chat_config = ConversationAdapters.get_openai_conversation_config()
-        if offline_chat_config and offline_chat_config.enabled and conversation_config.model_type == "offline":
+        conversation_config = ConversationAdapters.get_valid_conversation_config(user)
+        if conversation_config.model_type == "offline":
             if state.gpt4all_processor_config is None or state.gpt4all_processor_config.loaded_model is None:
                 state.gpt4all_processor_config = GPT4AllProcessorModel(conversation_config.chat_model)
 
             loaded_model = state.gpt4all_processor_config.loaded_model
             chat_response = converse_offline(
                 references=compiled_references,
+                online_results=online_results,
                 user_query=q,
                 loaded_model=loaded_model,
                 conversation_log=meta_log,
@@ -176,11 +243,13 @@ def generate_chat_response(
                 tokenizer_name=conversation_config.tokenizer,
             )
 
-        elif openai_chat_config and conversation_config.model_type == "openai":
+        elif conversation_config.model_type == "openai":
+            openai_chat_config = ConversationAdapters.get_openai_conversation_config()
             api_key = openai_chat_config.api_key
             chat_model = conversation_config.chat_model
             chat_response = converse(
                 compiled_references,
+                online_results,
                 q,
                 meta_log,
                 model=chat_model,

src/khoj/routers/indexer.py

@@ -7,12 +7,12 @@ from pydantic import BaseModel
 from starlette.authentication import requires
 
 from khoj.database.models import GithubConfig, KhojUser, NotionConfig
-from khoj.processor.github.github_to_entries import GithubToEntries
-from khoj.processor.markdown.markdown_to_entries import MarkdownToEntries
-from khoj.processor.notion.notion_to_entries import NotionToEntries
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.processor.pdf.pdf_to_entries import PdfToEntries
-from khoj.processor.plaintext.plaintext_to_entries import PlaintextToEntries
+from khoj.processor.content.github.github_to_entries import GithubToEntries
+from khoj.processor.content.markdown.markdown_to_entries import MarkdownToEntries
+from khoj.processor.content.notion.notion_to_entries import NotionToEntries
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+from khoj.processor.content.pdf.pdf_to_entries import PdfToEntries
+from khoj.processor.content.plaintext.plaintext_to_entries import PlaintextToEntries
 from khoj.routers.helpers import update_telemetry_state
 from khoj.search_type import image_search, text_search
 from khoj.utils import constants, state

src/khoj/search_type/text_search.py

@@ -18,7 +18,7 @@ from khoj.utils.models import BaseEncoder
 from khoj.utils.state import SearchType
 from khoj.utils.rawconfig import SearchResponse, Entry
 from khoj.utils.jsonl import load_jsonl
-from khoj.processor.text_to_entries import TextToEntries
+from khoj.processor.content.text_to_entries import TextToEntries
 from khoj.database.adapters import EntryAdapters
 from khoj.database.models import KhojUser, Entry as DbEntry
 
@@ -141,7 +141,7 @@ def collate_results(hits, dedupe=True):
 
         else:
             hit_ids.add(hit.corpus_id)
-            yield SearchResponse.parse_obj(
+            yield SearchResponse.model_validate(
                 {
                     "entry": hit.raw,
                     "score": hit.distance,

src/khoj/utils/helpers.py

@@ -272,12 +272,14 @@ class ConversationCommand(str, Enum):
     General = "general"
     Notes = "notes"
     Help = "help"
+    Online = "online"
 
 
 command_descriptions = {
     ConversationCommand.General: "Only talk about information that relies on Khoj's general knowledge, not your personal knowledge base.",
     ConversationCommand.Notes: "Only talk about information that is available in your knowledge base.",
     ConversationCommand.Default: "The default command when no command specified. It intelligently auto-switches between general and notes mode.",
+    ConversationCommand.Online: "Look up information on the internet.",
     ConversationCommand.Help: "Display a help message with all available commands and other metadata.",
 }
 

tests/conftest.py

@@ -1,48 +1,40 @@
 # External Packages
 import os
-from fastapi.testclient import TestClient
 from pathlib import Path
-import pytest
-from fastapi.staticfiles import StaticFiles
-from fastapi import FastAPI
-import os
-from fastapi import FastAPI
 
+import pytest
+from fastapi import FastAPI
+from fastapi.staticfiles import StaticFiles
+from fastapi.testclient import TestClient
 
 # Internal Packages
-from khoj.configure import configure_routes, configure_search_types, configure_middleware
+from khoj.configure import configure_middleware, configure_routes, configure_search_types
+from khoj.database.models import (
+    GithubConfig,
+    GithubRepoConfig,
+    KhojApiUser,
+    KhojUser,
+    LocalMarkdownConfig,
+    LocalOrgConfig,
+    LocalPlaintextConfig,
+)
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+from khoj.processor.content.plaintext.plaintext_to_entries import PlaintextToEntries
 from khoj.processor.embeddings import CrossEncoderModel, EmbeddingsModel
-from khoj.processor.plaintext.plaintext_to_entries import PlaintextToEntries
+from khoj.routers.indexer import configure_content
 from khoj.search_type import image_search, text_search
+from khoj.utils import fs_syncer, state
 from khoj.utils.config import SearchModels
 from khoj.utils.constants import web_directory
 from khoj.utils.helpers import resolve_absolute_path
-from khoj.utils.rawconfig import (
-    ContentConfig,
-    ImageContentConfig,
-    SearchConfig,
-    ImageSearchConfig,
-)
-from khoj.utils import state, fs_syncer
-from khoj.routers.indexer import configure_content
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.database.models import (
-    KhojApiUser,
-    LocalOrgConfig,
-    LocalMarkdownConfig,
-    LocalPlaintextConfig,
-    GithubConfig,
-    KhojUser,
-    GithubRepoConfig,
-)
-
+from khoj.utils.rawconfig import ContentConfig, ImageContentConfig, ImageSearchConfig, SearchConfig
 from tests.helpers import (
-    UserFactory,
     ChatModelOptionsFactory,
-    OpenAIProcessorConversationConfigFactory,
     OfflineChatProcessorConversationConfigFactory,
-    UserConversationProcessorConfigFactory,
+    OpenAIProcessorConversationConfigFactory,
     SubscriptionFactory,
+    UserConversationProcessorConfigFactory,
+    UserFactory,
 )
 
 

tests/test_client.py

@@ -1,23 +1,23 @@
 # Standard Modules
 from io import BytesIO
-from PIL import Image
 from urllib.parse import quote
+
 import pytest
+from fastapi import FastAPI
 
 # External Packages
 from fastapi.testclient import TestClient
-from fastapi import FastAPI
-import pytest
+from PIL import Image
 
 # Internal Packages
 from khoj.configure import configure_routes, configure_search_types
-from khoj.utils import state
-from khoj.utils.state import search_models, content_index, config
-from khoj.search_type import text_search, image_search
-from khoj.utils.rawconfig import ContentConfig, SearchConfig
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.database.models import KhojUser, KhojApiUser
 from khoj.database.adapters import EntryAdapters
+from khoj.database.models import KhojApiUser, KhojUser
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+from khoj.search_type import image_search, text_search
+from khoj.utils import state
+from khoj.utils.rawconfig import ContentConfig, SearchConfig
+from khoj.utils.state import config, content_index, search_models
 
 
 # Test

tests/test_gpt4all_chat_director.py

@@ -1,5 +1,6 @@
 # Standard Packages
 import urllib.parse
+from urllib.parse import quote
 
 # External Packages
 import pytest
@@ -54,6 +55,26 @@ def test_chat_with_no_chat_history_or_retrieved_content_gpt4all(client_offline_c
     )
 
 
+# ----------------------------------------------------------------------------------------------------
+@pytest.mark.chatquality
+@pytest.mark.django_db(transaction=True)
+def test_chat_with_online_content(chat_client):
+    # Act
+    q = "/online give me the link to paul graham's essay how to do great work"
+    encoded_q = quote(q, safe="")
+    response = chat_client.get(f"/api/chat?q={encoded_q}&stream=true")
+    response_message = response.content.decode("utf-8")
+
+    response_message = response_message.split("### compiled references")[0]
+
+    # Assert
+    expected_responses = ["http://www.paulgraham.com/greatwork.html"]
+    assert response.status_code == 200
+    assert any([expected_response in response_message for expected_response in expected_responses]), (
+        "Expected assistants name, [K|k]hoj, in response but got: " + response_message
+    )
+
+
 # ----------------------------------------------------------------------------------------------------
 @pytest.mark.chatquality
 @pytest.mark.django_db(transaction=True)

tests/test_markdown_to_entries.py

@@ -4,7 +4,7 @@ from pathlib import Path
 import os
 
 # Internal Packages
-from khoj.processor.markdown.markdown_to_entries import MarkdownToEntries
+from khoj.processor.content.markdown.markdown_to_entries import MarkdownToEntries
 from khoj.utils.fs_syncer import get_markdown_files
 from khoj.utils.rawconfig import TextContentConfig
 

tests/test_multiple_users.py

@@ -1,24 +1,14 @@
 # Standard Modules
-from io import BytesIO
-from PIL import Image
 from urllib.parse import quote
-import pytest
 
 # External Packages
-from fastapi.testclient import TestClient
-from fastapi import FastAPI, UploadFile
-from io import BytesIO
 import pytest
 
+from khoj.database.models import KhojApiUser, KhojUser
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+
 # Internal Packages
-from khoj.configure import configure_routes, configure_search_types
-from khoj.utils import state
-from khoj.utils.state import search_models, content_index, config
-from khoj.search_type import text_search, image_search
-from khoj.utils.rawconfig import ContentConfig, SearchConfig
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.database.models import KhojUser, KhojApiUser
-from khoj.database.adapters import EntryAdapters
+from khoj.search_type import text_search
 
 
 # ----------------------------------------------------------------------------------------------------

tests/test_openai_chat_director.py

@@ -1,6 +1,7 @@
 # Standard Packages
 import os
 import urllib.parse
+from urllib.parse import quote
 
 # External Packages
 import pytest
@@ -54,6 +55,26 @@ def test_chat_with_no_chat_history_or_retrieved_content(chat_client):
     )
 
 
+# ----------------------------------------------------------------------------------------------------
+@pytest.mark.chatquality
+@pytest.mark.django_db(transaction=True)
+def test_chat_with_online_content(chat_client):
+    # Act
+    q = "/online give me the link to paul graham's essay how to do great work"
+    encoded_q = quote(q, safe="")
+    response = chat_client.get(f"/api/chat?q={encoded_q}&stream=true")
+    response_message = response.content.decode("utf-8")
+
+    response_message = response_message.split("### compiled references")[0]
+
+    # Assert
+    expected_responses = ["http://www.paulgraham.com/greatwork.html"]
+    assert response.status_code == 200
+    assert any([expected_response in response_message for expected_response in expected_responses]), (
+        "Expected assistants name, [K|k]hoj, in response but got: " + response_message
+    )
+
+
 # ----------------------------------------------------------------------------------------------------
 @pytest.mark.django_db(transaction=True)
 @pytest.mark.chatquality

tests/test_org_to_entries.py

@@ -3,8 +3,8 @@ import json
 import os
 
 # Internal Packages
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.processor.text_to_entries import TextToEntries
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+from khoj.processor.content.text_to_entries import TextToEntries
 from khoj.utils.helpers import is_none_or_empty
 from khoj.utils.rawconfig import Entry
 from khoj.utils.fs_syncer import get_org_files

tests/test_orgnode.py

@@ -2,7 +2,7 @@
 import datetime
 
 # Internal Packages
-from khoj.processor.org_mode import orgnode
+from khoj.processor.content.org_mode import orgnode
 
 
 # Test

tests/test_pdf_to_entries.py

@@ -3,7 +3,7 @@ import json
 import os
 
 # Internal Packages
-from khoj.processor.pdf.pdf_to_entries import PdfToEntries
+from khoj.processor.content.pdf.pdf_to_entries import PdfToEntries
 
 from khoj.utils.fs_syncer import get_pdf_files
 from khoj.utils.rawconfig import TextContentConfig

tests/test_plaintext_to_entries.py

@@ -3,11 +3,12 @@ import json
 import os
 from pathlib import Path
 
+from khoj.database.models import KhojUser, LocalPlaintextConfig
+from khoj.processor.content.plaintext.plaintext_to_entries import PlaintextToEntries
+
 # Internal Packages
 from khoj.utils.fs_syncer import get_plaintext_files
 from khoj.utils.rawconfig import TextContentConfig
-from khoj.processor.plaintext.plaintext_to_entries import PlaintextToEntries
-from khoj.database.models import LocalPlaintextConfig, KhojUser
 
 
 def test_plaintext_file(tmp_path):

tests/test_text_search.py

@@ -1,19 +1,20 @@
 # System Packages
-import logging
-from pathlib import Path
-import os
 import asyncio
+import logging
+import os
+from pathlib import Path
 
 # External Packages
 import pytest
 
+from khoj.database.models import Entry, GithubConfig, KhojUser, LocalOrgConfig
+from khoj.processor.content.github.github_to_entries import GithubToEntries
+from khoj.processor.content.org_mode.org_to_entries import OrgToEntries
+
 # Internal Packages
 from khoj.search_type import text_search
-from khoj.utils.rawconfig import ContentConfig, SearchConfig
-from khoj.processor.org_mode.org_to_entries import OrgToEntries
-from khoj.processor.github.github_to_entries import GithubToEntries
 from khoj.utils.fs_syncer import collect_files, get_org_files
-from khoj.database.models import LocalOrgConfig, KhojUser, Entry, GithubConfig
+from khoj.utils.rawconfig import ContentConfig, SearchConfig
 
 logger = logging.getLogger(__name__)