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Debanjum Singh Solanky bed3aff059 Update tests to test multi-part/form method of pushing files to index 
Instead of using the previous method to push data as json payload of POST request
pass it as files to upload via the multi-part/form to the batch indexer API endpoint
2023-10-12 20:58:52 -07:00
.github/workflows
Improve docker builds for local hosting (#476)
2023-09-08 17:07:26 -07:00
config
Fix configure openai processor for khoj docker
2023-07-30 02:07:33 -07:00
docs
Update setup instructions
2023-09-26 09:40:36 -07:00
scripts
Upgrade bump_version script to handle release and post-release commit
2023-03-10 15:23:17 -06:00
src
Send files to index on server from the khoj.el emacs client
2023-10-12 20:58:52 -07:00
tests
Update tests to test multi-part/form method of pushing files to index
2023-10-12 20:58:52 -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
Add front-end Electron application for Khoj local file syncing (#473)
2023-09-06 12:04:18 -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
Improve docker builds for local hosting (#476)
2023-09-08 17:07:26 -07:00
Dockerfile
Use jammy for docker base image due to dependency issue with arm64 image
2023-09-18 15:38:18 -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 0.12.3
2023-09-26 22:41:11 -07:00
pyproject.toml
Use multi-part form to receive files to index on server
2023-10-11 23:58:23 -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 0.12.3
2023-09-26 22:41:11 -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
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Description
No description provided
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%