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agentaiassistantchatchatgptemacsimage-generationllama3llamacppllmobsidianobsidian-mdoffline-llmproductivityragresearchself-hostedsemantic-searchsttwhatsapp-ai
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- Deduplicate online, doc search queries across research iterations. This avoids running previously run online, doc searches again and dedupes online, doc context seen by model to generate response. - Deduplicate online search queries generated by chat model for each user query. - Do not pass online, docs, code context separately when generate response in research mode. These are already collected in the meta research passed with the user query - Improve formatting of context passed to generate research response - Use xml tags to delimit context. Pass per iteration queries in each iteration result - Put user query before meta research results in user message passed for generating response This deduplications will improve speed, cost & quality of research mode |
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Your AI second brain
Khoj is a personal AI app to extend your capabilities. It smoothly scales up from an on-device personal AI to a cloud-scale enterprise AI.
- Chat with any local or online LLM (e.g llama3, qwen, gemma, mistral, gpt, claude, gemini).
- Get answers from the internet and your docs (including image, pdf, markdown, org-mode, word, notion files).
- Access it from your Browser, Obsidian, Emacs, Desktop, Phone or Whatsapp.
- Create agents with custom knowledge, persona, chat model and tools to take on any role.
- Automate away repetitive research. Get personal newsletters and smart notifications delivered to your inbox.
- Find relevant docs quickly and easily using our advanced semantic search.
- Generate images, talk out loud, play your messages.
- Khoj is open-source, self-hostable. Always.
- Run it privately on your computer or try it on our cloud app.
See it in action
Go to https://app.khoj.dev to see Khoj live.
Full feature list
You can see the full feature list here.
Self-Host
To get started with self-hosting Khoj, read the docs.
Contributors
Cheers to our awesome contributors! 🎉
Made with contrib.rocks.
Interested in Contributing?
We are always looking for contributors to help us build new features, improve the project documentation, or fix bugs. If you're interested, please see our Contributing Guidelines and check out our Contributors Project Board.