- If khoj server started outside emacs, khoj--server-ready should be set
to true by khoj--server-running method (instead of waiting for proc msg)
- If khoj server is unconfigured the /config/types endpoint wouldn't
return anything. Using config/data/default allows checking khoj server
running status without requiring it to be configured as well
If the config hasn't changed there'll be no update. If config has
changed indexing will get triggered asynchronously. But user cannot
make query till indexing done
As easier to know when server ready to configure
- Use process filter, sentinel to mark when khoj server is ready or not
- Display server messages for visibility into server boot-up process
- Wait until server ready to open khoj transient menu in Emacs
Until then khoj features wouldn't work anyway, so avoids confusion
- Move completion and chat_completion into helper methods under utils.py
- Add retry with exponential backoff on OpenAI exceptions using
tenacity package. This is officially suggested and used by other
popular GPT based libraries
Merge pull request #192 from debanjum/improvements-to-khoj-chat-in-emacs
### Khoj Chat on Emacs Improvements
- d78454d Load Khoj Chat buffer before asking for query to provide context
- 93e2aff Use org footnotes to add references, allows jump to def on click
- 5e9558d Stylize reference links as superscripts and show definition on hover
- bc71c19 Use `m` or `C-x m` in-buffer keybindings to send messages to Khoj
### Khoj Chat Server Improvements
- 27217a3 Time chat API sub-components for performance analysis
- 508b217 Update Chat API, Logs, Interfaces to store, use references as list
- d4b3866 Truncate message logs to below max supported prompt size by chat model
- cf28f10 Register separate timestamps for user query and response by Khoj Chat
- Use tiktoken to count tokens for chat models
- Make conversation turns to add to prompt configurable via method
argument to generate_chatml_messages_with_context method
- Remove the need to split by magic string in emacs and chat interfaces
- Move compiling references into string as context for GPT to GPT layer
- Update setup in tests to use new style of setting references
- Name first argument to converse as more appropriate "references"
- Render references as superscript
- Show reference definitions on hover over reference links to ease access
- Truncate reference def shown on hover to 70 char
- Add continuation suffix, ..., when reference definition truncated
Merge pull request #191 from debanjum/create-chat-interface-on-emacs
- Render conversation history in a read-only org-mode buffer for Khoj Chat
- Add `chat` as a transient action in the Khoj transient menu
- Style chat messages as org-mode entries
- Put received date in property drawer and keep it hidden/folded by default
- Add Khoj chat response as child entry of the users associated question org entry
This allows folding back-n-forth between user and Khoj for easier viewing
- Render source notes snippets used as references for response as org-mode links
Hovering mouse on link or opening links shows reference note snippets used
- Style Message as Org Entries instead of List
- Put khoj response as child of user query entry
- Improves color coding for readability
- Allows folding each back-n-forth
- Put timestamp of message received into property drawer
- Use standardized time format for new and old chat messages
- Generalize the render-chat-response method to handle rendering
history or chat response from chat API reponse
- Trigger rendering of khoj chat history if Khoj chat buffer not
created for this session yet
- Use org-insert-link method to improve link rendering robustness
Previous simple mechanism to crete org-links would result in links
escaping out of formating. Use a user-facing org-mode method to
remove/reduce probability of this
- Replace newlines with space to render reference notes as links
- Query khoj chat API to get Khoj Chat response to user message
- Render chat messages as a org-mode list in format:
- [sender-name]: *[message]*
- /[receive-date]/
- Add references as org links with context visible on hover,
but no jump to note
- Require dash library for khoj.el to simplify list manipulation.
Use `-map-indexed' method from dash
Merge pull request #189 from debanjum/add-search-actor-to-improve-notes-lookup-for-chat
### Introduce Search Actor
Search actor infers Search Queries from user's message
- Capabilities
- Use previous messages to add context to current search queries[^1]
This improves quality of responses in multi-turn conversations.
- Deconstruct users message into multiple search queries to lookup notes[^2]
- Use relative date awareness to add date filters to search queries[^3]
- Chat Director now does the following:
1. [*NEW*] Use Search Actor to generate search queries from user's message
2. Retrieve relevant notes from Knowledge Base using the Search queries
3. Pass retrieved relevant notes to Chat Actor to respond to user
### Add Chat Quality Tests
- Test Search Actor capabilities
- Mark Chat Director Tests for Relative Date, Multiple Search Queries as Expected Pass
### Give More Search Results as Context to Chat Actor
- Loosen search results score threshold to work better for searches with date filters
- Pass more search results (up to 5 from 2) as context to Chat Actor to improve inference
[^1]: Multi-Turn Example
Q: "When did I go to Mars?"
Search: "When did I go to Mars?"
A: "You went to Mars in the future"
Q: "How was that experience?"
Search: "How my Mars experience?"
*This gives better context for the Chat actor to respond*
[^2]: Deconstruct Example:
Is Alpha older than Beta? => What is Alpha's age? & When was Beta born?
[^3]: Date Example:
Convert user messages containing relative dates like last month, yesterday to date filters on specific dates like dt>="2023-03-01"
- Reasons:
- GPT can extract date aware search queries with date filters
better than ChatGPT given the same prompt.
- Need quality more than cost savings for now.
- Need to figure ways to improve prompt for ChatGPT before using it
Update Search Actor prompt with answers, more precise primer and
two more examples for context
Mark the 3 chat quality tests using answer as context to generate
queries as expected to pass. Verify that the 3 tests pass now, unlike
before when the Search Actor did not have the answers for context
