Khoj

About Khoj

Launched Jan 04, 2025

Description

Your AI second brain for personal and enterprise use

Khoj is an open-source personal AI app that scales from on-device to cloud-scale enterprise AI. It offers chat functionality with various LLMs, answers queries using internet and personal documents, and integrates with multiple platforms. Khoj provides custom agent creation, research automation, semantic search, and multimedia generation capabilities, all while being self-hostable and privacy-focused.

Khoj Key Features

Chat with local or online LLMs (llama3, qwen, gemma, mistral, gpt, claude, gemini)
Answer queries using internet and personal documents (including images, PDFs, markdown, org-mode, word, notion files)
Accessible from Browser, Obsidian, Emacs, Desktop, Phone, or Whatsapp
Custom agent creation with personalized knowledge, persona, and tools
Research automation with personal newsletters and smart notifications
Advanced semantic search for quick document retrieval
Image generation, text-to-speech, and audio playback
Self-hostable and open-source

Khoj Use Cases

Personal knowledge management
Enterprise-scale AI assistance
Research automation and summarization
Document search and retrieval
Custom AI agent creation for specific roles
Multi-platform AI integration (desktop, mobile, messaging apps)

Pros

Open-source and self-hostable, offering a high level of privacy.
Scalable from personal to enterprise use, allowing for flexibility in deployment.
Integrates with multiple platforms, increasing its versatility.
Supports chat functionality with various large language models (LLMs), providing diverse interaction methods.
Answers queries using both internet and personal documents, offering comprehensive information access.
Features custom agent creation for personalized AI tasks.
Provides tools for research automation, enhancing productivity.
Includes semantic search capabilities for improved information retrieval.
Supports multimedia generation, adding creative capabilities.

Cons

Potential complexity in setup and self-hosting may require technical expertise.
Open-source nature may lead to less user support compared to commercial alternatives.
Scaling to enterprise use might involve additional infrastructure and resource management.