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[Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 
- Partition configuration for indexing local data based on user accounts
- Store indexed data in an underlying postgres db using the `pgvector` extension
- Add migrations for all relevant user data and embeddings generation. Very little performance optimization has been done for the lookup time
- Apply filters using SQL queries
- Start removing many server-level configuration settings
- Configure GitHub test actions to run during any PR. Update the test action to run in a containerized environment with a DB.
- Update the Docker image and docker-compose.yml to work with the new application design
2023-10-26 09:42:29 -07:00
.github/workflows [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
config Fix configure openai processor for khoj docker 2023-07-30 02:07:33 -07:00
docs Update emacs.md (#510) 2023-10-19 12:28:08 -07:00
scripts Sync desktop app package.json with other Khoj clients metadata 2023-10-13 20:43:55 -07:00
src [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
tests [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
.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 0 - Add support for logging in with Google (#487) 2023-10-14 19:39:13 -07:00
.pre-commit-config.yaml Run mypy checks in test workflow and on push (via pre-commit) 2023-02-17 16:08:56 -06:00
docker-compose.yml [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
Dockerfile [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
LICENSE Add, configure and run pre-commit locally and in test workflow 2023-02-17 13:31:36 -06:00
manifest.json Release Khoj version 0.13.0 2023-10-18 03:43:54 -07:00
pyproject.toml [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
pytest.ini [Multi-User Part 1]: Enable storage of settings for plaintext files based on user account (#498) 2023-10-26 09:42:29 -07:00
README.md Use 500px png of khoj logo instead svg for much smaller asset size 2023-08-07 18:27:11 -07:00
versions.json Release Khoj version 0.13.0 2023-10-18 03:43:54 -07:00

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