소개
AgentDB Vector Search provides a specialized toolkit for building advanced RAG systems and semantic search engines with extreme performance. By leveraging HNSW indexing and advanced quantization techniques, it enables sub-millisecond similarity matching while significantly reducing memory overhead by up to 32x. This skill facilitates efficient document storage, hybrid search, and context-aware querying, ensuring Claude can retrieve the most relevant information with speed and precision for complex reasoning tasks.
