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Debanjum d93395ae48 Set >=6Gb RAM required for offline chat 
Llama v2 7B with 4bit quantization technically needs ~3.5Gb RAM (7B * 0.5byte), practically a system with 6Gb of RAM should suffice
2023-10-18 12:05:54 -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
Set >=6Gb RAM required for offline chat
2023-10-18 12:05:54 -07:00
scripts
Sync desktop app package.json with other Khoj clients metadata
2023-10-13 20:43:55 -07:00
src
Release Khoj version 0.13.0
2023-10-18 03:43:54 -07:00
tests
Only index files returned by input-filter globs in fs_syncer
2023-10-17 23:32:10 -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 0.13.0
2023-10-18 03:43:54 -07:00
pyproject.toml
Push Files to Index from Emacs, Obsidian & Desktop Clients using Multi-Part Forms (#499)
2023-10-17 06:05:15 -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
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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%