Implements a Retrieval-Augmented Generation (RAG) system leveraging Google's Agent Development Kit (ADK) and Qdrant vector database for enhanced LLM responses.
Adk Rag combines Google's Agent Development Kit (ADK) with Qdrant vector database via an MCP server to build a powerful Retrieval-Augmented Generation (RAG) system. This system enhances Large Language Model (LLM) responses by retrieving relevant context from a vector database before generating answers, leading to more informed and accurate outputs. It uses semantic search powered by Qdrant and provides comprehensive monitoring and logging for system performance.