What does Pinecone do?

Pinecone is a vector database that stores and searches high-dimensional vectors for AI and machine learning applications.

Who is Pinecone best for?

Pinecone is best for developers and teams building AI applications that need fast vector similarity search, such as recommendation systems or semantic search.

Do I need to install anything to use Pinecone?

No, you do not need to install anything. Pinecone is a fully managed cloud service you access via API.

Is Pinecone free to use?

Yes, Pinecone has a free Starter plan with limits like 2 GB storage and one index.

Does Pinecone offer a free trial or demo?

Yes, Pinecone offers a free Starter plan and free trials with credits on Standard and Enterprise plans.

Does Pinecone have a plan for teams or businesses?

Yes, Pinecone offers Standard and Enterprise plans for teams and businesses, with features like multiple projects, SAML SSO, and RBAC.

Does Pinecone offer an API or integrations?

Yes, Pinecone offers an API and integrations with embedding models, cloud providers, and other AI tools.

How do I contact Pinecone support?

Contact Pinecone support through Discord for community help, their help desk for paid plans, or by emailing support@pinecone.io.

Pinecone: Reviews, Pricing, Alternatives & Features (2026)

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Pinecone is a fully managed, cloud-native vector database for developers and AI/ML teams that need fast similarity search over high-dimensional embeddings for production search, recommendations, and RAG.

Key capabilities include:

Vector similarity search at scale using approximate nearest neighbor (ANN) indexing to query large datasets with low latency.
Real-time ingestion and updates via upsert operations, making newly written vectors queryable within seconds.
Hybrid retrieval that blends dense vector search with sparse keyword (full-text) search, plus metadata filtering for precise results.
Multi-tenancy and operations features such as namespaces, automated scaling and replication, and data recovery options (backups and collections).

Pricing: Free tier available, then pay as you go (see pricing page for details).

What makes it notable: it combines a language-agnostic API with managed infrastructure (including serverless options) and common AI ecosystem integrations such as LangChain, LlamaIndex, and Haystack, plus hosted inference options for embeddings and reranking to support end-to-end retrieval workflows.