About Pinecone
A cloud-native managed vector database and similarity search service for production AI applications, built to store and query embeddings at scale with low latency.
Key Features
- Managed, serverless vector indexing and query — automatic scaling and namespace/index management.
- High-performance ANN search with multiple index types and benchmarks for production workloads.
- Security and enterprise features (encryption, RBAC, private networking, SLAs) and integrations with major clouds and ML frameworks.
Use Cases & Best For
Developers and teams building production semantic search, RAG, and recommender systems who want a managed vector service.
Enterprises requiring secure, scalable vector search with operational SLAs and cloud integrations.
About Vector Databases
Storage and retrieval for embeddings