Pinecone

# Pinecone Docs > Official Pinecone documentation for the vector database, Assistant, inference APIs, SDKs, and building production search and AI applications. ## Docs - [Pinecone documentation](https://docs.pinecone.io/guides/get-started/overview.md): Pinecone is the vector database for AI agents and applications, built for semantic search, knowledge retrieval, and long-term memory at… - [Quickstart](https://docs.pinecone.io/guides/get-started/quickstart.md): Add Pinecone to your AI agent or app in minutes. Build a knowledge retrieval agent, use your IDE assistant, or integrate the SDK direct… - [Agentic IDEs and CLIs](https://docs.pinecone.io/guides/get-started/ai-coding-tools.md): Use Pinecone with agentic IDEs and CLIs like Claude Code, Gemini CLI, and Cursor via MCP server, plugins, and agent skills for vector s… - [Test Pinecone at scale](https://docs.pinecone.io/guides/get-started/test-at-scale.md): Benchmark Pinecone at production scale by importing 10M vectors and measuring semantic search throughput, query latency, and costs. - [Concepts](https://docs.pinecone.io/guides/get-started/concepts.md): Learn core Pinecone concepts (organizations, projects, indexes, documents, namespaces, dense and sparse vectors) and how they relate. - [Architecture](https://docs.pinecone.io/guides/get-started/database-architecture.md): Learn how Pinecone's serverless architecture (API gateway, control plane, data plane, and object storage) powers vector search at scale. - [Indexing ove […gekürzt]