RAG with Vector Search and MCP for Knowledge Access

Implement a RAG system using a vector database (e.g., in-memory FAISS) that stores simulated robot manuals, previous human troubleshooting logs, and assembly blueprints. Describe how AutoGen agents will query this knowledge base using GPT-5 for context-aware information retrieval during assembly and error resolution. Detail how this will be exposed via an MCP tool.