Pinecone
Free tierThe fully managed vector database built for knowledgeable AI — fast retrieval, accurate results, lower costs.
Key strengths
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Pinecone exposes a REST API for all core operations, including index creation and management, upsert, query, fetch, and delete. Developers can work with Dense indexes (for embedding-based semantic search), Sparse indexes (for keyword-weighted retrieval), and Full-Text indexes depending on retrieval requirements. The Pinecone Nexus knowledge engine is available for building RAG pipelines with significantly reduced token consumption (85–97% fewer tokens per query vs. agentic RAG). Pinecone integrates natively with AI coding and agent tools — Claude Code, Cursor, GitHub Copilot, Codex, and Gemini CLI — as well as observability platforms Prometheus and Datadog, and runs on AWS, GCP, and Azure. BYOC deployment is available on the Enterprise tier. The platform is not self-hostable and has no open-source distribution. GitHub activity sits at ~3,050 stars across its public repositories.