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Pinecone is a managed vector database used for RAG, semantic search, and recommendation systems — a common infrastructure pick when embedding retrieval needs…

Pricing Freemium Popularity 159 Starts at Free Free tier Yes API Yes

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Key information

Pricing & details

Snapshot from our listing — always confirm on the official site.

Official pricing →

Model

Freemium

Starting at

Free

Free tier

Yes

API

Available

Open source

No

Platforms

API · cloud

Capabilities

Key features

What stands out when you evaluate Pinecone.

  • Serverless indexes
  • Hybrid search
  • Namespaces
  • Metadata filtering
  • SDKs

Quick take

Best for

When Pinecone tends to make the shortlist.

  • Serverless indexes
  • Hybrid search
  • Namespaces
  • Metadata filtering
  • Freemium pricing with a free tier listed

Alternatives

Alternatives to Pinecone

Similar tools worth comparing before you commit.

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Overview

About Pinecone

Managed vector database for AI apps

Updated 2026-07-27

Pinecone is a managed vector database used for RAG, semantic search, and recommendation systems — a common infrastructure pick when embedding retrieval needs to scale.

Decision guide

Pros & cons

Signals from our listing for Pinecone.

Pros

  • Free tier listed
  • Public API listed
  • Serverless indexes
  • Hybrid search
  • Namespaces

Cons

  • Not listed as open source

FAQ

Frequently asked questions

Straight answers about Pinecone pricing, API access, and alternatives.

What is Pinecone?

Managed vector database for AI apps — Pinecone is a managed vector database used for RAG, semantic search, and recommendation systems — a common infrastructure pick when embedding retrieval needs to scale.

Is Pinecone free?

Yes, a free tier is listed. Paid plans are available (Freemium). Confirm current limits on the official site.

Does Pinecone have an API?

Yes. Pinecone lists API access on AIAppDrop — confirm docs and limits on the official site.

What are alternatives to Pinecone?

Related tools on AIAppDrop include Hugging Face, LangChain. See the alternatives section on this page for more.

Topic cluster

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