What is vectordb?
Vector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search. Source: lobbi-docs/claude.
Vector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search.
Quickly install vectordb AI skill to your development environment via command line
Source: lobbi-docs/claude.
Provides comprehensive vector database capabilities for the Golden Armada AI Agent Fleet Platform.
OpenAI embeddings def getopenaiembedding(text: str) -> list[float]: response = openai.embeddings.create( model="text-embedding-3-small", input=text ) return response.data[0].embedding
Batch embeddings def getbatchembeddings(texts: list[str]) -> list[list[float]]: response = openai.embeddings.create( model="text-embedding-3-small", input=texts ) return [item.embedding for item in response.data] \\\`
Vector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search. Source: lobbi-docs/claude.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/lobbi-docs/claude --skill vectordbVector database operations for embeddings and semantic search. Activate for Pinecone, Weaviate, Chroma, pgvector, RAG, and similarity search. Source: lobbi-docs/claude.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lobbi-docs/claude --skill vectordb Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/lobbi-docs/claude