RAG MCP Server

# Configuration for the RAG MCP Application # Client UI Configuration # Orchestrator LLM model to use ORCHESTRATOR_MODEL="qwen3:1.7b" # Port for the Gradio UI GRADIO_PORT=3000 # RAG Server Configuration # Path to the data directory DATA_PATH="data" # Path to the ChromaDB directory CHROMA_PATH="chroma_db" # Embeddings model to use (e.g., for Google Generative AI) EMBEDDINGS_MODEL="models/embedding-001" # Number of results to retrieve from the vector store RETRIEVER_NUM_RESULTS=5 # API Keys (if applicable) # GOOGLE_API_KEY=your_google_api_key_here