Pinecone

Pinecone is a fully managed vector database built to store, index, and query high-dimensional vector embeddings generated by machine learning models. It is designed to power AI-driven applications that require low-latency similarity search at scale. Pinecone supports use cases such as retrieval-augmented generation (RAG), semantic search, recommendation engines, anomaly detection, and image or document search. The service abstracts infrastructure management, allowing developers to focus on building applications rather than maintaining search infrastructure. Pinecone offers both serverless and pod-based deployment options, with the serverless architecture automatically scaling to match workload demands. It provides a REST API and client libraries for Python, Node.js, Java, and Go. Pinecone integrates with popular AI frameworks and embedding model providers, including OpenAI, Cohere, and Hugging Face. Data can be upserted, queried by vector similarity, and filtered using metadata. The platform is available as a cloud-hosted service with a free starter tier and usage-based paid plans.