New top story on Hacker News: Show HN: Khoj – Chat Offline with Your Second Brain Using Llama 2

Show HN: Khoj – Chat Offline with Your Second Brain Using Llama 2
53 by 110 | 4 comments on Hacker News.
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 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. # Overview 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) # Chat Extract answers and create content from your existing knowledge base Online or Offline: Chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements 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 # Search Quickly find relevant notes, documents or images using natural language Does not use internet Example: Search for "bought flowers at grocery store" will find notes about "roses at wholefoods" # Quickstart pip install khoj-assistant && khoj See https://ift.tt/DoamiLw for detailed instructions We also have desktop apps (in beta) at https://ift.tt/jtNgnpA 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!

• Tweet
• Share
• Share
• Share
• Share