关于
AgentDB Vector Search is a specialized Claude Code skill designed for building high-performance RAG systems and semantic search engines. It leverages AgentDB's HNSW indexing and quantization techniques to deliver search results 150x to 12,500x faster than traditional solutions, often achieving sub-millisecond latency. Whether you are managing small document sets or millions of vectors, this skill provides the CLI tools and API patterns needed for efficient storage, hybrid search, and context-aware querying directly within your development environment.
