概要
This skill provides Claude with a robust long-term memory system by integrating with the Qdrant vector database. It transforms standard text into vector embeddings, allowing AI agents to store and retrieve information based on semantic meaning rather than simple keyword matching. This is particularly useful for building Retrieval Augmented Generation (RAG) systems, managing complex project knowledge bases, and maintaining architectural context across multiple coding sessions, ensuring that Claude 'remembers' important patterns and decisions permanently.
