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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.

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Install

armory install vector-database-engineer --cli claude

writes the file to.claude/agents/vector-database-engineer.mdListed as compatible

Configuration
# fetches the source and writes it to:
.claude/agents/vector-database-engineer.md

Needs the armory CLI · not on npm yet, build it from cli/ in the repository

What it is

wshobson/agents sub-agent vector-database-engineer (model: inherit) from the llm-application-dev plugin. 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.

When to use it

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.

How to install / invoke

# copy the agent definition into your project's .claude/agents/
curl -sL https://github.com/wshobson/agents/raw/main/plugins/llm-application-dev/agents/vector-database-engineer.md -o .claude/agents/vector-database-engineer.md

Notes

Extracted from wshobson/agents. Plugin: llm-application-dev.