qdrant-agentic-rag

Use when building an AI agent that uses Qdrant for retrieval, implementing agentic RAG, an agent needs to decide what to search for, multi-step retrieval where one answer informs the next query, storing agent memory or conversation history in Qdrant, an agent needs to plan a retrieval strategy, iterative or self-correcting retrieval loops, or tools that search Qdrant as part of an agent's action space.