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Pinecone
Managed vector database for AI — fast similarity search at any scale.
0Free-Limited
Vector Database
Overview
Pinecone is a fully managed vector database built for AI applications, providing fast and scalable similarity search with sub-10ms query latency at billions of vectors.
Key Features
- Sub-10ms query latency at billions of vectors
- Fully managed — no infrastructure to maintain
- Metadata filtering alongside vector search
- Namespaces for multi-tenant isolation
- Sparse-dense hybrid search for better relevance
- Serverless tier with pay-per-use pricing
Real-World Workflows
Semantic search over a product catalog
- 1Embed product descriptions with an embedding model
- 2Upsert vectors with product metadata (ID, category, price) to Pinecone
- 3At query time, embed the user's search query
- 4Query Pinecone with metadata filters and return top-k matches
Getting Started
pip install pinecone
from pinecone import Pinecone
pc = Pinecone(api_key='your-api-key')
index = pc.Index('my-index')
index.upsert(vectors=[{'id': 'v1', 'values': [0.1, 0.2, 0.3]}])
results = index.query(vector=[0.1, 0.2, 0.3], top_k=5)
print(results)Compare Alternatives
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