Pinecone
Managed vector database for fast, production-ready semantic search
Introduction
Pinecone is a fully managed, serverless vector database for storing and searching embeddings. It supports semantic search, recommendations, AI agents, and retrieval-augmented generation, with hybrid sparse and dense search, metadata filtering, and real-time indexing. Teams can move from prototype to production without managing infrastructure.
- Added on
- Nov 2, 2026
- Website
- www.pinecone.io
- Pricing model
- Freemium
- Company
- Pinecone Systems, Inc.
Product information
What is Pinecone?
Pinecone is a managed vector database that stores embeddings and returns similar matches for search and AI applications.
How to use Pinecone?
Create vector embeddings from your data, then store and query them through Pinecone's API to power semantic search or recommendations.
Core features of Pinecone
- Vector search
- Semantic search
- Hybrid search with sparse and dense embeddings
- Real-time indexing
- Metadata filtering
- Serverless scaling
Use cases of Pinecone
- 1Semantic search
- 2Recommendation systems
- 3AI agents
- 4Retrieval-augmented generation (RAG)
Frequently asked questions about Pinecone
What is Pinecone used for?+
Semantic search, recommendation systems, AI agents, and retrieval-augmented generation (RAG).
Does Pinecone support hybrid search?+
Yes, it combines sparse and dense embeddings for more accurate search results.
What compliance standards does Pinecone meet?+
Pinecone states that it is SOC 2, GDPR, ISO 27001, and HIPAA certified.
Which category is Pinecone in?+
Pinecone is listed under AI Search Engine.