- Major
- Ask for prompt in prose
- Remove seed from SD3 image generation to improve diversity of output
for a given prompt
Otherwise for conversations with similar sounding
prompts, the images would be almost exactly the same. This maybe
another indicator of SD3's inability to capture detailed
instructions
- Consistently use "prompt" wording instead of "query" in improved
image generation prompts.
Previously a mix of those terms were being used, which could confuse
the chat model
- Minor
- Add day of week to prompt
- Remove 2-5 sentence limit on instructions to SD3. It seems to be
able to follow longer instructions just with less fidelity than
DALLE. And the 2-5 sentence instruction limit wasn't being adhered to
- Improve ability to edit, improve the image based on follow-up
instructions by the user
- Align prompts for DALLE and SD3. Only difference is to wrap text to
be rendered in quotes for SD3. This improves it's ability to render
requested text. DALLE cannot render text as well or consistently
- Because we're using a FastAPI api framework with a Django ORM, we're running into some interesting conditions around connection pooling and clean-up. We're ending up with a large pile-up of open, stale connections to the DB recurringly when the server has been running for a while. To mitigate this problem, given starlette and django run in different python threads, add a middleware that will go and call the connection clean up method in each of the threads.
- Issue
The Khoj docker build would fail with `ImportError: libGL.so.1: cannot open shared object file: No such file or directory`. This was required by the Khoj RapidOCR python package dependency.
- Fix
A minimal set of system packages have been added to resolve this issue.
- Transcribe on holding Ctrl+s keyboard shortcut
- Transcribe on holding the transcribe button pressed via mouse too
- Make the transcribe button robust to inadvertent touches by using timeout
- Do not transcribe, trigger auto-send on silences. Silence detection
is super rudimentary, just blocks standard emanations by whisper
when no speech
### Fix
- Fix degrade in speed when indexing large files
- Resolve org-mode indexing bug by splitting current section only once by heading
- Improve summarization by fixing formatting of text in indexed files
### Improve
- Improve scaling user, admin flows to delete all entries for a user
- Split once by heading (=first_non_empty) to extract current section body
Otherwise child headings with same prefix as current heading will
cause the section split to go into infinite loop
- Also add check to prevent getting into recursive loop while trying
to split entry into sub sections
Adding files to the DB for summarization was slow, buggy in two ways:
- We were updating same text of modified files in DB = no of chunks
per file times
- The `" ".join(file_content)' code was breaking each character in the
file content by a space. This formats the original file content
incorrectly before storing in the DB
Because this code ran in the main file indexing path, it was slowing down
file indexing. Knowledge bases with larger files were impacted more strongly
- Delete entries by batch to improve efficiency of query at scale
- Share code to delete all user entries between it's async, sync methods
- Add indicator to show when files being deleted on web config page
- Add CSP to web config pages. Load phone no. validation js, css from S3
- Construct config page elements on Web via DOM scripting
- Disable CSP in Khoj Obsidian as it interferes with Obsidian functionality
- Other miscellaneous voice message level improvements (rate limit, listening animation)
The Khoj CSP interferes with other Obsidian features and plugins as
CSP is applied page wide.
For now chat message sanitization via Dompurify should suffice.
Enable CSP when can scope it to only the Khoj Obsidian plugin.
Maybe better to fallback to non-summarize behavior if summarize intent
is just inferred but we can't actually summarize because the single
file added to conversation isn't satisfied
- Simplify quick jump between Khoj side pane and main editor view using keyboard shortcuts
- Enable voice chat in Obsidian to make interactions with Khoj more seamless
- Overview
Khoj wil be able to do online search out of the box, even for self-hosted users
- Default to Jina search, reader API when no Serper.dev, Olostep API keys
- Run online searches in parallel to process multiple queries faster
- Details
- Jina provides a [reader API](https://github.com/jina-ai/reader) for online search and web page reading
It requires no API key. This provides a good default to enable
online search for self-hosted readers requiring no additional setup.
- Jina search API also returns webpage contents with the results, so
just use those directly when Jina Search API used instead of
trying to read webpages separately. The extract relevant content from
webpage step using a chat model is still used from the
`read_webpage_and_extract_content' func in this case.
- Parse search results from Jina search API into same format as
Serper.dev for accurate rendering of online references by clients
- Run online searches in parallel with AsyncIO to process multiple queries faster
- Support Stable Diffusion 3 via API
Server Admin needs to setup model similar to DALLE-3 via Django Admin Panel
- Use shorter prompt generator to prompt SD3 to create better images
- Allow users to set paint model to use from web client config page
Update offline, openai chat actor, director tests to not require
Serper to run the online command tests
Update documentation for self-hosted online search to mention no setup
is required by default. But improvements can be made by using
Serper.dev or Olostep
Jina AI provides a search and webpage reader API that doesn't require
an API key. This provides a good default to enable online search for
self-hosted readers requiring no additional setup.
Jina search API also returns webpage contents with the results, so
just use those directly when Jina Search API used instead of
trying to read webpages separately. The extract relvant content from
webpage step using a chat model is still used from the
`read_webpage_and_extract_content' func in this case.
Parse search results from Jina search API into same format as
Serper.dev for accurate rendering of online references by clients
- Added support for uploading .jpeg, .jpg, and .png files to Khoj from Web, Desktop app
- Updating indexer to generate raw text and entries using RapidOCR
- Details
* added support for indexing images via ocr
* fixed pyproject.toml
* Update src/khoj/processor/content/images/image_to_entries.py
Co-authored-by: Debanjum <debanjum@gmail.com>
* Update src/khoj/processor/content/images/image_to_entries.py
Co-authored-by: Debanjum <debanjum@gmail.com>
* removed redudant try except blocks
* updated desktop js file to support image formats
* added tests for jpg and png
* Fix processing for image to entries files
* Update unit tests with working image indexer
* Change png test from version verificaition to open-cv verification
---------
Co-authored-by: Debanjum <debanjum@gmail.com>
Co-authored-by: sabaimran <narmiabas@gmail.com>
This should improve fluidity of keyboard interactions with Khoj on
Obsidian.
Open Khoj chat view via keybinding or command pallete and ask
question using only the keyboard, with no mouse clicks required
- Automatically carry out voice chats with Khoj from within Obsidian
When send voice message, Khoj will auto respond with voice as well
- Listen to past Khoj messages as speech
- Add circular loading spinner to use while message is being converted
to speech
