vector-databases

Features and purpose

Design vector database ingestion and retrieval pipelines (points + payloads, filtered similarity search, multi-stage hybrid retrieval, index maintenance). Use when building RAG/vector search flows or debugging retrieval quality; triggers: vector database, RAG, embeddings, hybrid search, filtered search, Qdrant, Weaviate, Chroma.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.