💬 LiveKit RAG Assistant v2.0

Enterprise-grade AI semantic search + real-time web integration for LiveKit documentation

🎯 Features

• Dual Search: Pinecone docs (3,000+ vectors) + Tavily real-time web

• Standard MCP: Async LangChain with Model Context Protocol

• Ultra-Fast: Groq LLM (llama-3.3-70b) sub-5s responses

• Premium UI: Glassmorphism design with 60+ animations

• Source Attribution: Full transparency on every answer

Related MCP server: Semantic Search MCP Server

🚀 Quick Start

# Setup
conda create -n langmcp python=3.12
conda activate langmcp
pip install -r requirements.txt

# Configure .env
GROQ_API_KEY=your_key
TAVILY_API_KEY=your_key
PINECONE_API_KEY=your_key
PINECONE_INDEX_NAME=livekit-docs

# Terminal 1: Start MCP Server
python mcp_server_standard.py

# Terminal 2: Start UI
streamlit run app.py

App opens at http://localhost:8501

🏗️ Architecture

Streamlit (app.py) → MCP Server → Dual Search:
├─ Pinecone: Semantic search on embeddings (384-dim)
└─ Tavily: Real-time web results
    ↓
Groq LLM (2048 tokens, temp 0.3) → Response + Sources

🔧 Tech Stack

📚 Usage

1. Choose mode: 📚 Docs or � Web

2. Ask naturally: "How do I set up LiveKit?"

3. Get instant answer with 📄 sources

4. Copy messages or re-ask from history

⚡ Performance

• First query: ~15-20s (model load)

• Cached queries: 2-5s

• Search latency: <500ms

🛠️ Configuration

GROQ_API_KEY=gsk_***
TAVILY_API_KEY=tvly_***
PINECONE_API_KEY=***
PINECONE_INDEX_NAME=livekit-docs

🔄 Populate Docs

python ingest_docs_quick.py  # Creates 3,000+ vector chunks

📊 Files

• app.py - Streamlit UI with premium design

• mcp_server_standard.py - MCP server with tools

• ingest_docs_quick.py - Document ingestion

• requirements.txt - Dependencies

• .env - API keys

🚨 Troubleshooting

� Features

✅ Real-time chat with 60+ animations ✅ Semantic + keyword hybrid search ✅ Copy-to-clipboard for messages ✅ Recent query suggestions ✅ System status dashboard ✅ Chat history persistence ✅ Query validation + error handling

Version: 2.0 | Status: ✅ Production Ready | Created: November 2025

👨‍💻 By @THENABILMAN | � Open Source | ❤️ For Developers