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Onyx

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GitHub Python NOASSERTION

Description

Open source AI platform with enterprise-grade AI chat, advanced RAG and AI search capabilities that works with every LLM.

Key Features

  • Agentic RAG — Hybrid index + AI Agent retrieval for best-in-class search and answer quality
  • Deep Research — Multi-step research flow generating comprehensive reports, top of leaderboard
  • Custom Agents — Build AI Agents with unique instructions, knowledge bases, and action capabilities
  • Web Search — Supports Serper, Google PSE, Brave, SearXNG with built-in web crawler and Firecrawl/Exa
  • Code Execution — Execute code in sandbox for data analysis, graph rendering, or file operations
  • 50+ Connectors — Out-of-the-box enterprise connectors for Confluence, Jira, Google Drive, and more

Use Cases

💡 Enterprise teams deploy internal AI search connected to Confluence/Jira knowledge bases
💡 Researchers use deep research to automate literature surveys and generate structured reports
💡 Data analysts execute Python code in chat for data visualization and statistical analysis
💡 Customer service teams build custom agents handling inquiries, integrating CRM for auto-updates
💡 Individual users deploy Lite version as lightweight AI chat assistant with multi-LLM backends

Strengths & Limitations

✅ Strengths

  • • Actively maintained, recent updates
  • • High community interest (31.9k stars)
  • • Established track record (3 years in production)

⚠️ Limitations

  • • No clear open-source license

Tags

rag python llm chatbot agent

Categories

📚 RAG Tools

Quick Start

# One-command deployment
bash <(curl -fsSL https://onyx.app/install_onyx.sh)

# Or Docker Compose
git clone https://github.com/onyx-dot-app/onyx.git
cd onyx/deployment/docker_compose
docker compose up -d

# Lite mode (< 1GB memory)
# Edit docker-compose.yml, comment out unnecessary services
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