The leading vector database for AI applications
Pinecone is the most popular managed vector database, purpose-built for AI and machine learning applications. It stores and searches high-dimensional vectors (embeddings from AI models) at massive scale with low latency. Developers use Pinecone as the backbone for Retrieval-Augmented Generation (RAG) systems, semantic search engines, recommendation systems, and AI-powered knowledge bases. In 2026, Pinecone launched Serverless (scales to zero with pay-per-query pricing), Inference API (generates embeddings without a separate model), Namespaces for multi-tenant applications, and improved hybrid search combining vector and keyword search. With native integrations in LangChain, LlamaIndex, and OpenAI, Pinecone is the default choice for developers building AI applications that need to search over large datasets of unstructured data.
Free tier includes 100K vectors with 5 namespaces. Standard plan from $70/month for larger indexes. Enterprise custom pricing.
Pinecone Serverless (2026)
Sign up at pinecone.io and create an index
Choose your embedding dimensions and metric
Install the Python or TypeScript SDK
Generate embeddings from your data using an AI model
Upsert vectors into your Pinecone index
Query with a vector to find similar items
Compare side by side with any tool in our directory.
Best For
AI developers building RAG, semantic search, and recommendation applications
Last Updated
2026-03-01
Pinecone was released to the public, marking its official debut in the AI landscape.
Pinecone Serverless (2026)
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