Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.

Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).

Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: "What was that book Trillian mentioned at Zaphod's birthday last week". We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.

Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for "bought flowers at grocery store" will find notes about "roses at wholefoods".

Quickstart:

  pip install khoj-assistant && khoj

We also have desktop apps (in beta) at https://github.com/khoj-ai/khoj/releases/tag/0.10.0 if you want to try them out.

Please do try out Khoj and let us know if it works for your use cases? Looking forward to the feedback!