pinecone
Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API. Build semantic search, recommendation systems, and RAG pipelines with high-performance vector storage. Built for AI agents — Python stdlib only, zero dependencies. Use for vector search, semantic similarity, RAG applications, recommendation engines, and AI memory systems.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install openclaw-skills-pinecone
Repository
Skill path: skills/aiwithabidi/pinecone
Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API. Build semantic search, recommendation systems, and RAG pipelines with high-performance vector storage. Built for AI agents — Python stdlib only, zero dependencies. Use for vector search, semantic similarity, RAG applications, recommendation engines, and AI memory systems.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Backend, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install pinecone into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding pinecone to shared team environments
- Use pinecone for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.