Vector Database Engineer
This one handles the full stack of vector search implementation, from picking the right embedding model to tuning HNSW indexes for your latency budget. It covers the major platforms (Pinecone, Weaviate, Qdrant, Milvus, pgvector) and walks through chunking strategies, hybrid search setup, and metadata filtering. The workflow is practical: analyze your data, choose embeddings, design your pipeline, configure indexes, then optimize recall versus speed. Most useful when you're building RAG systems or semantic search and need to make architectural decisions rather than just plug in a vector store. The emphasis on monitoring embedding drift and planning for reindexing is a nice touch that shows real production thinking.
- skills.sh installs
- 392
- GitHub stars
- 39.4K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill vector-database-engineer --agent claude-codeInstalls into .claude/skills of the current project.
Files
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.
- If detailed examples are required, open
resources/implementation-playbook.md.
Capabilities
- Vector database selection and architecture
- Embedding model selection and optimization
- Index configuration (HNSW, IVF, PQ)
- Hybrid search (vector + keyword) implementation
- Chunking strategies for documents
- Metadata filtering and pre/post-filtering
- Performance tuning and scaling
Use this skill when
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- Categories
- Backend & APIs, AI & Agent Building, Databases
- First seen
- Jun 3, 2026
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