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Debanjum Singh Solanky 9ab327a2b6 Store the data source of each entry in database 
This will be useful for updating, deleting entries by their data
source. Data source can be one of Computer, Github or Notion for now

Store each file/entries source in database
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.github/workflows
Try adding dependencies for libgl in order to run OCR in github action unit tests
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config
Fix configure openai processor for khoj docker
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docs
Update system requirements in docs for offline chat models
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scripts
Sync desktop app package.json with other Khoj clients metadata
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src
Store the data source of each entry in database
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tests
Store the data source of each entry in database
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.dockerignore
Use pypi khoj to fix docker builds and dockerize github workflow
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.gitattributes
Exclude tests data file from programming stats on Github
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.gitignore
[Multi-User Part 5]: Add a production Docker file and use a gunicorn configuration with it (#514)
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.pre-commit-config.yaml
Run mypy checks in test workflow and on push (via pre-commit)
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docker-compose.yml
[Multi-User Part 5]: Add a production Docker file and use a gunicorn configuration with it (#514)
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Dockerfile
[Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498)
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gunicorn-config.py
[Multi-User Part 5]: Add a production Docker file and use a gunicorn configuration with it (#514)
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LICENSE
Add, configure and run pre-commit locally and in test workflow
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manifest.json
Release Khoj version 0.13.0
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prod.Dockerfile
Add OCR runtime dependencies to prod Dockerfile as well
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pyproject.toml
Upgrade langchain version since adding support for OCR-ing PDFs
2023-11-06 21:58:33 -08:00
pytest.ini
[Multi-User Part 3]: Separate chat sesssions based on authenticated users (#511)
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README.md
Use 500px png of khoj logo instead svg for much smaller asset size
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versions.json
Release Khoj version 0.13.0
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README.md

Khoj Logo

test dockerize pypi

An AI personal assistant for your digital brain

Khoj is a desktop application to search and chat with your notes, documents and images.
It is an offline-first, open source AI personal assistant accessible from your Emacs, Obsidian or Web browser.
It works with jpeg, markdown, notion, org-mode, pdf files and github repositories.

🔎 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
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Description
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Readme AGPL-3.0 116 MiB
Languages
Python 51%
TypeScript 36.1%
CSS 4.1%
HTML 3.2%
Emacs Lisp 2.4%
Other 3.1%