Pinecone

Pinecone is a fully managed vector database designed for machine learning applications. It provides fast, scalable similarity search for embeddings, making it a popular choice for RAG systems, recommendation engines, and semantic search applications.

Key features include: serverless and pod-based deployment options, hybrid search combining vectors with metadata filtering, namespaces for data isolation, real-time index updates, and high availability with automatic scaling. Pinecone handles infrastructure complexity, letting engineers focus on building applications.

For AI engineers, Pinecone offers a low-friction path to production vector search. Considerations include: understanding cost models (based on storage and queries), choosing appropriate index configurations, optimizing metadata for filtering, and managing data lifecycle. It's often the first choice for teams wanting managed vector infrastructure without operational overhead.