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Debanjum Singh Solanky db2581459f Parse markdown parent entries as single entry if fit within max tokens 
These changes improve context available to the search model.
Specifically this should improve entry context from short knowledge trees,
that is knowledge bases with sparse, short heading/entry trees

Previously we'd always split markdown files by headings, even if a
parent entry was small enough to fit entirely within the max token
limits of the search model. This used to reduce the context available
to the search model to select appropriate entries for a query,
especially from short entry trees

Revert back to using regex to parse through markdown file instead of
using MarkdownHeaderTextSplitter. It was easier to implement the
logical split using regexes rather than bend MarkdowHeaderTextSplitter
to implement it.
- DFS traverse the markdown knowledge tree, prefix ancestry to each entry
2024-04-04 02:41:55 +05:30
.github Update stale Khoj pypi package metadata 2024-03-29 00:06:55 +05:30
documentation Fix docs showing how to setup llama-cpp with Khoj 2024-03-31 15:36:40 +05:30
scripts Fix bump_version.sh to commit, clean-up after desktop app version bump 2023-12-22 21:42:03 +05:30
src Parse markdown parent entries as single entry if fit within max tokens 2024-04-04 02:41:55 +05:30
tests Parse markdown parent entries as single entry if fit within max tokens 2024-04-04 02:41:55 +05:30
.dockerignore Use pypi khoj to fix docker builds and dockerize github workflow 2023-02-19 01:57:01 -06:00
.gitattributes Exclude tests data file from programming stats on Github 2023-08-28 11:00:52 -07:00
.gitignore [Multi-User Part 5]: Add a production Docker file and use a gunicorn configuration with it (#514) 2023-10-26 13:15:31 -07:00
.pre-commit-config.yaml Add isort to the pre-commit configuration and apply it to the whole project (#595) 2023-12-28 18:04:02 +05:30
docker-compose.yml Set default value of KHOJ_DEBUG to False in the docker-compose file 2024-03-01 21:51:13 +05:30
Dockerfile Remove unused git dependency from Docker images 2024-02-16 17:41:09 +05:30
gunicorn-config.py Configure production setup for moving to single worker model 2024-03-30 10:35:55 +05:30
LICENSE Change license to GNU AGPLv3 from GNU GPLv3 2023-11-16 11:14:06 -08:00
manifest.json Release Khoj version 1.8.0 2024-03-31 00:06:15 +05:30
prod.Dockerfile Configure production setup for moving to single worker model 2024-03-30 10:35:55 +05:30
pyproject.toml Rebase with matser 2024-04-02 16:16:06 +05:30
pytest.ini Move the django app into the src/khoj folder for better organization and functionality 2023-11-21 10:56:04 -08:00
README.md Add num online for Discord badge 2024-03-10 17:48:30 +05:30
versions.json Release Khoj version 1.8.0 2024-03-31 00:06:15 +05:30

README.md

Khoj Logo

test dockerize pypi Discord

An AI personal assistant for your digital brain

Khoj is an AI application to search and chat with your notes and documents.
It is open-source, self-hostable and accessible on Desktop, Emacs, Obsidian, Web and Whatsapp.
It works with pdf, markdown, org-mode, notion files and github repositories.
It can paint, search the internet and understand speech.

🔎 Search 💬 Chat
Quickly retrieve relevant documents using natural language Get answers and create content from your existing knowledge base
Does not need internet Can be configured to work without internet

Contributors

Cheers to our awesome contributors! 🎉

Made with contrib.rocks.