Individual skill
vector-database-engineer
Design vector storage, indexing, and semantic retrieval with Pinecone, Weaviate, Qdrant, Milvus, or pgvector. Use when implementing RAG, similarity search, or recommendation systems.
skills/vector-database-engineer/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 1,996
- Repository last updated
- Nov 7, 2026
- License
- MIT
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- antigravity Repository topic
- antigravity-skills Repository topic
- data Derived category
- data-databases Derived category
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SKILL.mdcore · 2,151 bytes
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# Vector Database Engineer
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Use PROACTIVELY for vector search implementation, embedding optimization, or semantic retrieval systems.
## Do not use this skill when
- The task is unrelated to vector database engineer
- You need a different domain or tool outside this scope
## Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.