sabaimran e8a13f0813 Add multi-user support to Khoj and use Postgres for backend storage (#549)
- Adds support for multiple users to be connected to the same Khoj instance using their Google login credentials
- Moves storage solution from in-memory json data to a Postgres db. This stores all relevant information, including accounts, embeddings, chat history, server side chat configuration
- Adds the concept of a Khoj server admin for configuring instance-wide settings regarding search model, and chat configuration
- Miscellaneous updates and fixes to the UX, including chat references, colors, and an updated config page
- Adds billing to allow users to subscribe to the cloud service easily
- Adds a separate GitHub action for building the dockerized production (tag `prod`) and dev (tag `dev`) images, separate from the image used for local building. The production image uses `gunicorn` with multiple workers to run the server.
- Updates all clients (Obsidian, Emacs, Desktop) to follow the client/server architecture. The server no longer reads from the file system at all; it only accepts data via the indexer API. In line with that, removes the functionality to configure org, markdown, plaintext, or other file-specific settings in the server. Only leaves GitHub and Notion for server-side configuration.
- Changes license to GNU AGPLv3

Resolves #467 
Resolves #488 
Resolves #303 
Resolves #345 
Resolves #195 
Resolves #280 
Resolves #461 
Closes #259 
Resolves #351
Resolves #301
Resolves #296
2023-11-16 11:48:01 -08:00
2023-11-10 00:28:33 -08:00
2023-11-10 00:28:33 -08:00

Khoj Logo

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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
S
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%