Pinecone
Pinecone is a managed vector database and retrieval platform for AI apps and agents, combining semantic, full-text and hybrid search in one index.
About this tool
Pinecone is a managed database built for AI retrieval. Applications store content as vectors and text, then query it to find the most relevant passages for a question, which is the basis of retrieval-augmented generation and long-term memory for agents. One index can serve semantic, sparse-vector, full-text and hybrid search.
The service handles infrastructure and scaling. It can generate embeddings from your text server-side, filter by metadata and rerank results, and isolate each customer’s data with namespaces. Larger deployments can use dedicated read nodes, backups and Bring Your Own Cloud. Pinecone also promotes a knowledge platform that compiles enterprise data once and serves answers through a single query.
What you can do
Hybrid search in one index
Combine semantic, sparse-vector and full-text search in the same index instead of running separate systems.
Integrated embeddings and reranking
Upsert and query plain text while Pinecone creates vectors server-side, then rerank results for relevance.
Multi-tenancy with namespaces
Keep each customer’s or project’s data separate inside one index, which simplifies SaaS architectures.
Production options
Dedicated read nodes, backups, monitoring integrations and deployment in your own cloud account support large workloads.
Who is it for?
- A SaaS company gives each customer an AI assistant grounded in their own documents.
- A support team builds semantic search across thousands of help articles.
- An agent stores long-term memory of user preferences and past tasks.
Before you choose
Costs on usage-based plans grow with stored data, reads and writes; model your expected volume before choosing a plan.
Retrieval quality depends on how content is chunked and embedded; test with real questions rather than relying on defaults.
Frequently asked questions
Is Pinecone free?
Yes, the Starter plan is free for trying Pinecone and small applications. Builder, Standard and Enterprise plans add capacity and features.
What kinds of search does Pinecone support?
Pinecone serves semantic, sparse-vector, full-text and hybrid search from one index, with metadata filters and reranking.
Can Pinecone run in my own cloud?
Yes, Pinecone offers Bring Your Own Cloud, deploying in your own cloud account for production workloads.
Check the official website for current features, pricing, and terms.
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