Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point. 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…
In plain words
Khoj is a desktop application that lets users search and chat with their personal notes, documents, and images using natural language instead of keywords. It integrates with Emacs, Obsidian, and web browsers, and works with files like org-mode, markdown, PDFs, and images. The software runs offline using Llama 2, a large language model that works on consumer hardware, enabling private conversations with your documents without relying on external services.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point. 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 See https://docs.khoj.dev/#/setup for detailed instructions 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!
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