Store and search high-dimensional vectors at scale.
Pinecone lets teams store embeddings from LLMs and other models, then query them with low-latency similarity search for retrieval-augmented generation, recommendation, or semantic search use cases. The service handles indexing, scaling, and replication so developers can focus on building AI features instead of operating vector infrastructure. **Key Features:** • Managed vector indexes with low-latency search • Namespace and metadata filtering • High availability and horizontal scaling • SDKs for popular languages and frameworks • Usage-based, serverless-style pricing
