LiveKit RAG Assistant
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Integrates enterprise-grade AI semantic search with real-time web capabilities to provide comprehensive support for LiveKit documentation.
About
The LiveKit RAG Assistant is an advanced, enterprise-grade AI tool designed to provide comprehensive support for LiveKit documentation. It leverages a dual-search mechanism, combining semantic search over 3,000+ Pinecone-indexed vectors with real-time web results from Tavily. Built on an asynchronous LangChain Model Context Protocol (MCP) and powered by the ultra-fast Groq LLM, it delivers sub-5-second responses with full source attribution. Users benefit from a premium glassmorphism UI with over 60 animations, making documentation queries intuitive and efficient for developers.
Key Features
- Persistent chat history and recent query suggestions
- Ultra-fast responses (sub-5s) powered by Groq LLM (Llama-3.3-70b)
- Full source attribution for every answer, ensuring transparency
- Premium glassmorphism UI design with over 60 animations
- Dual search combining Pinecone documentation vectors and Tavily real-time web results
- 0 GitHub stars
Use Cases
- Retrieving real-time web information related to LiveKit development challenges
- Assisting developers with LiveKit setup, configuration, and troubleshooting
- Quickly finding answers within extensive LiveKit documentation
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