Pinecone

Pinecone is the leading purpose-built vector database designed to store, index, and query high-dimensional vector embeddings at scale. Founded in 2019, it provides the critical storage and retrieval infrastructure needed for building state-of-the-art AI applications including semantic search, retrieval-augmented generation (RAG), agents, and recommendation systems. Pinecone is fully managed and serverless, meaning infrastructure scales automatically with demand — developers can launch a vector index in seconds without managing servers.

• Serverless scaling — Resources adjust automatically to meet demand; launch your first index in seconds with no infrastructure management required.
• Dense and sparse indexes — Support for both dense vector search (semantic similarity) and sparse indexes (exact keyword/full-text match) for hybrid retrieval.
• Real-time indexing — Upserted and updated vectors are dynamically indexed in real-time to ensure fresh, up-to-date query results.
• Metadata filtering — Retrieve only vectors matching your metadata filters to narrow results with precision.
• Rerankers — Add an extra layer of precision with hosted reranking models (including pinecone-rerank-v0, bge-reranker-v2-m3, and cohere-rerank-v3.5) to boost the most relevant matches.
• Pinecone Inference — Access hosted embedding and reranking models directly on Pinecone's infrastructure, including llama-text-embed-v2 and multilingual-e5-large.
• Pinecone Assistant — Build production-grade chat and agent-based applications quickly with a managed assistant service.
• Namespaces — Create data partitions within indexes for multi-tenant isolation.
• Dedicated Read Nodes (DRN) — Exclusive infrastructure for queries with provisioned nodes reserved for your index — no noisy neighbors or shared queues.
• Bring Your Own Cloud (BYOC) — Run Pinecone inside your own AWS, GCP, or Azure account with a zero-access operating model and outbound-only operations.
• Enterprise security — SOC 2, GDPR, ISO 27001, and HIPAA certified; supports encryption at rest and in transit, customer managed encryption keys, private networking, SAML SSO, RBAC, and audit logs.
• Broad integrations — Works with Azure, GCP, AWS, OpenAI, Cohere, Hugging Face, LangChain, Amazon Bedrock, Snowflake, Datadog, Airbyte, Databricks, Vercel, Terraform, and more.