Merge pull request #587 from khoj-ai/features/search-model-options-custom

Support multiple search models, with ability for custom user config
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sabaimran 2023-12-28 13:09:49 +05:30 committed by GitHub
commit 738f050086
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18 changed files with 239 additions and 36 deletions

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@ -66,7 +66,7 @@ dependencies = [
"gpt4all >= 2.0.0; platform_system == 'Windows' or platform_system == 'Darwin'", "gpt4all >= 2.0.0; platform_system == 'Windows' or platform_system == 'Darwin'",
"itsdangerous == 2.1.2", "itsdangerous == 2.1.2",
"httpx == 0.25.0", "httpx == 0.25.0",
"pgvector == 0.2.3", "pgvector == 0.2.4",
"psycopg2-binary == 2.9.9", "psycopg2-binary == 2.9.9",
"google-auth == 2.23.3", "google-auth == 2.23.3",
"python-multipart == 0.0.6", "python-multipart == 0.0.6",

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@ -25,7 +25,7 @@ from khoj.database.models import KhojUser, Subscription
from khoj.database.adapters import ( from khoj.database.adapters import (
ConversationAdapters, ConversationAdapters,
get_all_users, get_all_users,
get_or_create_search_model, get_or_create_search_models,
aget_user_subscription_state, aget_user_subscription_state,
SubscriptionState, SubscriptionState,
) )
@ -146,8 +146,14 @@ def configure_server(
# Initialize Search Models from Config and initialize content # Initialize Search Models from Config and initialize content
try: try:
state.embeddings_model = EmbeddingsModel(get_or_create_search_model().bi_encoder) search_models = get_or_create_search_models()
state.cross_encoder_model = CrossEncoderModel(get_or_create_search_model().cross_encoder) state.embeddings_model = dict()
state.cross_encoder_model = dict()
for model in search_models:
state.embeddings_model.update({model.name: EmbeddingsModel(model.bi_encoder)})
state.cross_encoder_model.update({model.name: CrossEncoderModel(model.cross_encoder)})
state.SearchType = configure_search_types() state.SearchType = configure_search_types()
state.search_models = configure_search(state.search_models, state.config.search_type) state.search_models = configure_search(state.search_models, state.config.search_type)
initialize_content(regenerate, search_type, init, user) initialize_content(regenerate, search_type, init, user)

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@ -32,6 +32,7 @@ from khoj.database.models import (
SpeechToTextModelOptions, SpeechToTextModelOptions,
Subscription, Subscription,
UserConversationConfig, UserConversationConfig,
UserSearchModelConfig,
OpenAIProcessorConversationConfig, OpenAIProcessorConversationConfig,
OfflineChatProcessorConversationConfig, OfflineChatProcessorConversationConfig,
ReflectiveQuestion, ReflectiveQuestion,
@ -250,12 +251,33 @@ async def set_user_github_config(user: KhojUser, pat_token: str, repos: list):
return config return config
def get_or_create_search_model(): def get_user_search_model_or_default(user=None):
search_model = SearchModelConfig.objects.filter().first() if user and UserSearchModelConfig.objects.filter(user=user).exists():
if not search_model: return UserSearchModelConfig.objects.filter(user=user).first().setting
search_model = SearchModelConfig.objects.create()
return search_model if SearchModelConfig.objects.filter(name="default").exists():
return SearchModelConfig.objects.filter(name="default").first()
else:
SearchModelConfig.objects.create()
return SearchModelConfig.objects.first()
def get_or_create_search_models():
search_models = SearchModelConfig.objects.all()
if search_models.count() == 0:
SearchModelConfig.objects.create()
search_models = SearchModelConfig.objects.all()
return search_models
async def aset_user_search_model(user: KhojUser, search_model_config_id: int):
config = await SearchModelConfig.objects.filter(id=search_model_config_id).afirst()
if not config:
return None
new_config, _ = await UserSearchModelConfig.objects.aupdate_or_create(user=user, defaults={"setting": config})
return new_config
class ConversationAdapters: class ConversationAdapters:

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@ -16,6 +16,7 @@ from khoj.database.models import (
SpeechToTextModelOptions, SpeechToTextModelOptions,
Subscription, Subscription,
ReflectiveQuestion, ReflectiveQuestion,
UserSearchModelConfig,
TextToImageModelConfig, TextToImageModelConfig,
Conversation, Conversation,
) )
@ -29,6 +30,7 @@ admin.site.register(OfflineChatProcessorConversationConfig)
admin.site.register(SearchModelConfig) admin.site.register(SearchModelConfig)
admin.site.register(Subscription) admin.site.register(Subscription)
admin.site.register(ReflectiveQuestion) admin.site.register(ReflectiveQuestion)
admin.site.register(UserSearchModelConfig)
admin.site.register(TextToImageModelConfig) admin.site.register(TextToImageModelConfig)

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@ -0,0 +1,33 @@
# Generated by Django 4.2.7 on 2023-12-19 15:44
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("database", "0022_texttoimagemodelconfig"),
]
operations = [
migrations.CreateModel(
name="UserSearchModelConfig",
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)),
(
"setting",
models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to="database.searchmodelconfig"),
),
(
"user",
models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL),
),
],
options={
"abstract": False,
},
),
]

View file

@ -0,0 +1,18 @@
# Generated by Django 4.2.7 on 2023-12-20 07:27
from django.db import migrations
import pgvector.django
class Migration(migrations.Migration):
dependencies = [
("database", "0023_usersearchmodelconfig"),
]
operations = [
migrations.AlterField(
model_name="entry",
name="embeddings",
field=pgvector.django.VectorField(),
),
]

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@ -153,6 +153,11 @@ class UserConversationConfig(BaseModel):
setting = models.ForeignKey(ChatModelOptions, on_delete=models.CASCADE, default=None, null=True, blank=True) setting = models.ForeignKey(ChatModelOptions, on_delete=models.CASCADE, default=None, null=True, blank=True)
class UserSearchModelConfig(BaseModel):
user = models.OneToOneField(KhojUser, on_delete=models.CASCADE)
setting = models.ForeignKey(SearchModelConfig, on_delete=models.CASCADE)
class Conversation(BaseModel): class Conversation(BaseModel):
user = models.ForeignKey(KhojUser, on_delete=models.CASCADE) user = models.ForeignKey(KhojUser, on_delete=models.CASCADE)
conversation_log = models.JSONField(default=dict) conversation_log = models.JSONField(default=dict)
@ -180,7 +185,7 @@ class Entry(BaseModel):
GITHUB = "github" GITHUB = "github"
user = models.ForeignKey(KhojUser, on_delete=models.CASCADE, default=None, null=True, blank=True) user = models.ForeignKey(KhojUser, on_delete=models.CASCADE, default=None, null=True, blank=True)
embeddings = VectorField(dimensions=384) embeddings = VectorField(dimensions=None)
raw = models.TextField() raw = models.TextField()
compiled = models.TextField() compiled = models.TextField()
heading = models.CharField(max_length=1000, default=None, null=True, blank=True) heading = models.CharField(max_length=1000, default=None, null=True, blank=True)

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@ -0,0 +1,2 @@
<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
<svg width="800px" height="800px" viewBox="0 0 64 64" xmlns="http://www.w3.org/2000/svg" stroke-width="3" stroke="#000000" fill="none"><circle cx="34.52" cy="11.43" r="5.82"/><circle cx="53.63" cy="31.6" r="5.82"/><circle cx="34.52" cy="50.57" r="5.82"/><circle cx="15.16" cy="42.03" r="5.82"/><circle cx="15.16" cy="19.27" r="5.82"/><circle cx="34.51" cy="29.27" r="4.7"/><line x1="20.17" y1="16.3" x2="28.9" y2="12.93"/><line x1="38.6" y1="15.59" x2="49.48" y2="27.52"/><line x1="50.07" y1="36.2" x2="38.67" y2="46.49"/><line x1="18.36" y1="24.13" x2="30.91" y2="46.01"/><line x1="20.31" y1="44.74" x2="28.7" y2="48.63"/><line x1="17.34" y1="36.63" x2="31.37" y2="16.32"/><line x1="20.52" y1="21.55" x2="30.34" y2="27.1"/><line x1="39.22" y1="29.8" x2="47.81" y2="30.45"/><line x1="34.51" y1="33.98" x2="34.52" y2="44.74"/></svg>

After

Width:  |  Height:  |  Size: 951 B

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@ -296,6 +296,21 @@
height: 32px; height: 32px;
} }
div#notification-banner {
background-color: var(--primary);
border: 1px solid var(--primary-hover);
padding: 8px;
box-shadow: 0px 1px 3px 0px rgba(0,0,0,0.1),0px 1px 2px -1px rgba(0,0,0,0.8);
}
div#notification-banner-parent {
position: fixed;
right: 0;
bottom: 0;
margin: 20px;
}
select#search-models,
select#chat-models { select#chat-models {
margin-bottom: 0; margin-bottom: 0;
padding: 8px; padding: 8px;

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@ -16,6 +16,9 @@ Hi, I am Khoj, your open, personal AI 👋🏽. I can help:
- 🧠 Answer general knowledge questions - 🧠 Answer general knowledge questions
- 💡 Be a sounding board for your ideas - 💡 Be a sounding board for your ideas
- 📜 Chat with your notes & documents - 📜 Chat with your notes & documents
- 🌄 Generate images based on your messages
- 🔎 Search the web for answers to your questions
- 🎙️ Listen to your audio messages
Get the Khoj [Desktop](https://khoj.dev/downloads), [Obsidian](https://docs.khoj.dev/#/obsidian?id=setup) or [Emacs](https://docs.khoj.dev/#/emacs?id=setup) app to search, chat with your 🖥️ computer docs. Get the Khoj [Desktop](https://khoj.dev/downloads), [Obsidian](https://docs.khoj.dev/#/obsidian?id=setup) or [Emacs](https://docs.khoj.dev/#/emacs?id=setup) app to search, chat with your 🖥️ computer docs.

View file

@ -107,6 +107,26 @@
</div> </div>
</div> </div>
</div> </div>
<div class="card">
<div class="card-title-row">
<img class="card-icon" src="/static/assets/icons/web.svg" alt="Language">
<h3 class="card-title">
Language
</h3>
</div>
<div class="card-description-row">
<select id="search-models">
{% for option in search_model_options %}
<option value="{{ option.id }}" {% if option.id == selected_search_model_config %}selected{% endif %}>{{ option.name }}</option>
{% endfor %}
</select>
</div>
<div class="card-action-row">
<button id="save-search-model" class="card-button happy" onclick="updateSearchModel()">
Save
</button>
</div>
</div>
</div> </div>
<div class="general-settings section"> <div class="general-settings section">
<div id="status" style="display: none;"></div> <div id="status" style="display: none;"></div>
@ -240,6 +260,10 @@
{% endif %} {% endif %}
<div class="section"></div> <div class="section"></div>
</div> </div>
<div class="section" id="notification-banner-parent">
<div id="notification-banner"></div>
</div>
</div>
<script> <script>
function updateChatModel() { function updateChatModel() {
@ -266,6 +290,37 @@
}) })
}; };
function updateSearchModel() {
const searchModel = document.getElementById("search-models").value;
const saveSearchModelButton = document.getElementById("save-search-model");
saveSearchModelButton.disabled = true;
saveSearchModelButton.innerHTML = "Saving...";
fetch('/api/config/data/search/model?id=' + searchModel, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
}
})
.then(response => response.json())
.then(data => {
if (data.status == "ok") {
saveSearchModelButton.innerHTML = "Save";
saveSearchModelButton.disabled = false;
} else {
saveSearchModelButton.innerHTML = "Error";
saveSearchModelButton.disabled = false;
}
let notificationBanner = document.getElementById("notification-banner");
notificationBanner.innerHTML = "When updating the language model, be sure to delete all your saved content and re-initialize.";
notificationBanner.style.display = "block";
setTimeout(function() {
notificationBanner.style.display = "none";
}, 5000);
})
};
function clearContentType(content_source) { function clearContentType(content_source) {
fetch('/api/config/data/content-source/' + content_source, { fetch('/api/config/data/content-source/' + content_source, {
method: 'DELETE', method: 'DELETE',

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@ -14,7 +14,7 @@ from khoj.utils.helpers import is_none_or_empty, timer, batcher
from khoj.utils.rawconfig import Entry from khoj.utils.rawconfig import Entry
from khoj.search_filter.date_filter import DateFilter from khoj.search_filter.date_filter import DateFilter
from khoj.database.models import KhojUser, Entry as DbEntry, EntryDates from khoj.database.models import KhojUser, Entry as DbEntry, EntryDates
from khoj.database.adapters import EntryAdapters from khoj.database.adapters import EntryAdapters, get_user_search_model_or_default
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -112,7 +112,8 @@ class TextToEntries(ABC):
with timer("Generated embeddings for entries to add to database in", logger): with timer("Generated embeddings for entries to add to database in", logger):
entries_to_process = [hash_to_current_entries[hashed_val] for hashed_val in hashes_to_process] entries_to_process = [hash_to_current_entries[hashed_val] for hashed_val in hashes_to_process]
data_to_embed = [getattr(entry, key) for entry in entries_to_process] data_to_embed = [getattr(entry, key) for entry in entries_to_process]
embeddings += self.embeddings_model.embed_documents(data_to_embed) model = get_user_search_model_or_default(user)
embeddings += self.embeddings_model[model.name].embed_documents(data_to_embed)
added_entries: list[DbEntry] = [] added_entries: list[DbEntry] = []
with timer("Added entries to database in", logger): with timer("Added entries to database in", logger):

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@ -18,7 +18,7 @@ from starlette.authentication import requires
# Internal Packages # Internal Packages
from khoj.configure import configure_server from khoj.configure import configure_server
from khoj.database import adapters from khoj.database import adapters
from khoj.database.adapters import ConversationAdapters, EntryAdapters from khoj.database.adapters import ConversationAdapters, EntryAdapters, get_user_search_model_or_default
from khoj.database.models import ChatModelOptions, SpeechToTextModelOptions from khoj.database.models import ChatModelOptions, SpeechToTextModelOptions
from khoj.database.models import Entry as DbEntry from khoj.database.models import Entry as DbEntry
from khoj.database.models import ( from khoj.database.models import (
@ -332,6 +332,31 @@ async def update_chat_model(
return {"status": "ok"} return {"status": "ok"}
@api.post("/config/data/search/model", status_code=200)
@requires(["authenticated"])
async def update_search_model(
request: Request,
id: str,
client: Optional[str] = None,
):
user = request.user.object
new_config = await adapters.aset_user_search_model(user, int(id))
if new_config is None:
return {"status": "error", "message": "Model not found"}
else:
update_telemetry_state(
request=request,
telemetry_type="api",
api="set_search_model",
client=client,
metadata={"search_model": new_config.setting.name},
)
return {"status": "ok"}
# Create Routes # Create Routes
@api.get("/config/data/default") @api.get("/config/data/default")
def get_default_config_data(): def get_default_config_data():
@ -410,13 +435,10 @@ async def search(
defiltered_query = filter.defilter(defiltered_query) defiltered_query = filter.defilter(defiltered_query)
encoded_asymmetric_query = None encoded_asymmetric_query = None
if t == SearchType.All or t != SearchType.Image: if t != SearchType.Image:
text_search_models: List[TextSearchModel] = [
model for model in state.search_models.__dict__.values() if isinstance(model, TextSearchModel)
]
if text_search_models:
with timer("Encoding query took", logger=logger): with timer("Encoding query took", logger=logger):
encoded_asymmetric_query = state.embeddings_model.embed_query(defiltered_query) search_model = await sync_to_async(get_user_search_model_or_default)(user)
encoded_asymmetric_query = state.embeddings_model[search_model.name].embed_query(defiltered_query)
with concurrent.futures.ThreadPoolExecutor() as executor: with concurrent.futures.ThreadPoolExecutor() as executor:
if t in [ if t in [
@ -472,9 +494,9 @@ async def search(
results += text_search.collate_results(hits, dedupe=dedupe) results += text_search.collate_results(hits, dedupe=dedupe)
# Sort results across all content types and take top results # Sort results across all content types and take top results
results = text_search.rerank_and_sort_results(results, query=defiltered_query, rank_results=r)[ results = text_search.rerank_and_sort_results(
:results_count results, query=defiltered_query, rank_results=r, search_model_name=search_model.name
] )[:results_count]
# Cache results # Cache results
if user: if user:

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@ -143,6 +143,13 @@ async def update(
) )
return Response(content="Failed", status_code=500) return Response(content="Failed", status_code=500)
indexing_metadata = {
"num_org": len(org_files),
"num_markdown": len(markdown_files),
"num_pdf": len(pdf_files),
"num_plaintext": len(plaintext_files),
}
update_telemetry_state( update_telemetry_state(
request=request, request=request,
telemetry_type="api", telemetry_type="api",
@ -151,6 +158,7 @@ async def update(
user_agent=user_agent, user_agent=user_agent,
referer=referer, referer=referer,
host=host, host=host,
metadata=indexing_metadata,
) )
logger.info(f"📪 Content index updated via API call by {client} client") logger.info(f"📪 Content index updated via API call by {client} client")

View file

@ -155,6 +155,11 @@ def config_page(request: Request):
for conversation_option in conversation_options: for conversation_option in conversation_options:
all_conversation_options.append({"chat_model": conversation_option.chat_model, "id": conversation_option.id}) all_conversation_options.append({"chat_model": conversation_option.chat_model, "id": conversation_option.id})
search_model_options = adapters.get_or_create_search_models().all()
all_search_model_options = list()
for search_model_option in search_model_options:
all_search_model_options.append({"name": search_model_option.name, "id": search_model_option.id})
return templates.TemplateResponse( return templates.TemplateResponse(
"config.html", "config.html",
context={ context={
@ -163,6 +168,7 @@ def config_page(request: Request):
"anonymous_mode": state.anonymous_mode, "anonymous_mode": state.anonymous_mode,
"username": user.username, "username": user.username,
"conversation_options": all_conversation_options, "conversation_options": all_conversation_options,
"search_model_options": all_search_model_options,
"selected_conversation_config": selected_conversation_config.id if selected_conversation_config else None, "selected_conversation_config": selected_conversation_config.id if selected_conversation_config else None,
"user_photo": user_picture, "user_photo": user_picture,
"billing_enabled": state.billing_enabled, "billing_enabled": state.billing_enabled,

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@ -19,7 +19,7 @@ from khoj.utils.state import SearchType
from khoj.utils.rawconfig import SearchResponse, Entry from khoj.utils.rawconfig import SearchResponse, Entry
from khoj.utils.jsonl import load_jsonl from khoj.utils.jsonl import load_jsonl
from khoj.processor.content.text_to_entries import TextToEntries from khoj.processor.content.text_to_entries import TextToEntries
from khoj.database.adapters import EntryAdapters from khoj.database.adapters import EntryAdapters, get_user_search_model_or_default
from khoj.database.models import KhojUser, Entry as DbEntry from khoj.database.models import KhojUser, Entry as DbEntry
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@ -115,7 +115,8 @@ async def query(
# Encode the query using the bi-encoder # Encode the query using the bi-encoder
if question_embedding is None: if question_embedding is None:
with timer("Query Encode Time", logger, state.device): with timer("Query Encode Time", logger, state.device):
question_embedding = state.embeddings_model.embed_query(query) search_model = await sync_to_async(get_user_search_model_or_default)(user)
question_embedding = state.embeddings_model[search_model.name].embed_query(query)
# Find relevant entries for the query # Find relevant entries for the query
top_k = 10 top_k = 10
@ -179,13 +180,13 @@ def deduplicated_search_responses(hits: List[SearchResponse]):
) )
def rerank_and_sort_results(hits, query, rank_results): def rerank_and_sort_results(hits, query, rank_results, search_model_name):
# If we have more than one result and reranking is enabled # If we have more than one result and reranking is enabled
rank_results = rank_results and len(list(hits)) > 1 rank_results = rank_results and len(list(hits)) > 1
# Score all retrieved entries using the cross-encoder # Score all retrieved entries using the cross-encoder
if rank_results: if rank_results:
hits = cross_encoder_score(query, hits) hits = cross_encoder_score(query, hits, search_model_name)
# Sort results by cross-encoder score followed by bi-encoder score # Sort results by cross-encoder score followed by bi-encoder score
hits = sort_results(rank_results=rank_results, hits=hits) hits = sort_results(rank_results=rank_results, hits=hits)
@ -218,10 +219,10 @@ def setup(
) )
def cross_encoder_score(query: str, hits: List[SearchResponse]) -> List[SearchResponse]: def cross_encoder_score(query: str, hits: List[SearchResponse], search_model_name: str) -> List[SearchResponse]:
"""Score all retrieved entries using the cross-encoder""" """Score all retrieved entries using the cross-encoder"""
with timer("Cross-Encoder Predict Time", logger, state.device): with timer("Cross-Encoder Predict Time", logger, state.device):
cross_scores = state.cross_encoder_model.predict(query, hits) cross_scores = state.cross_encoder_model[search_model_name].predict(query, hits)
# Convert cross-encoder scores to distances and pass in hits for reranking # Convert cross-encoder scores to distances and pass in hits for reranking
for idx in range(len(cross_scores)): for idx in range(len(cross_scores)):

View file

@ -19,8 +19,8 @@ from khoj.utils.rawconfig import FullConfig
# Application Global State # Application Global State
config = FullConfig() config = FullConfig()
search_models = SearchModels() search_models = SearchModels()
embeddings_model: EmbeddingsModel = None embeddings_model: Dict[str, EmbeddingsModel] = None
cross_encoder_model: CrossEncoderModel = None cross_encoder_model: Dict[str, CrossEncoderModel] = None
content_index = ContentIndex() content_index = ContentIndex()
openai_client: OpenAI = None openai_client: OpenAI = None
gpt4all_processor_config: GPT4AllProcessorModel = None gpt4all_processor_config: GPT4AllProcessorModel = None

View file

@ -45,8 +45,10 @@ def enable_db_access_for_all_tests(db):
@pytest.fixture(scope="session") @pytest.fixture(scope="session")
def search_config() -> SearchConfig: def search_config() -> SearchConfig:
state.embeddings_model = EmbeddingsModel() state.embeddings_model = dict()
state.cross_encoder_model = CrossEncoderModel() state.embeddings_model["default"] = EmbeddingsModel()
state.cross_encoder_model = dict()
state.cross_encoder_model["default"] = CrossEncoderModel()
model_dir = resolve_absolute_path("~/.khoj/search") model_dir = resolve_absolute_path("~/.khoj/search")
model_dir.mkdir(parents=True, exist_ok=True) model_dir.mkdir(parents=True, exist_ok=True)
@ -317,8 +319,10 @@ def client(
state.config.content_type = content_config state.config.content_type = content_config
state.config.search_type = search_config state.config.search_type = search_config
state.SearchType = configure_search_types() state.SearchType = configure_search_types()
state.embeddings_model = EmbeddingsModel() state.embeddings_model = dict()
state.cross_encoder_model = CrossEncoderModel() state.embeddings_model["default"] = EmbeddingsModel()
state.cross_encoder_model = dict()
state.cross_encoder_model["default"] = CrossEncoderModel()
# These lines help us Mock the Search models for these search types # These lines help us Mock the Search models for these search types
state.search_models.image_search = image_search.initialize_model(search_config.image) state.search_models.image_search = image_search.initialize_model(search_config.image)