Pinecone Vector Database
Pinecone 向量数据库
Managed vector database for semantic search, RAG, and recommendation with millisecond latency.
托管向量数据库,用于语义搜索、RAG 和推荐系统,毫秒级延迟。
Website
Documentation
Pricing
free tier available, pay-as-you-go
Authentication
- API Key
Popularity
78/100
Endpoints
https://{index}.svc.{environment}.pinecone.io/vectors/upsert
https://{index}.svc.{environment}.pinecone.io/query
SDKs
PythonNode.jsGoJavacurl
Key Features
- ◆Managed vector database
- ◆Millisecond semantic search
- ◆RAG-optimized infrastructure
- ◆Serverless & pod-based indexes
- ◆Multi-cloud support
Code Examples
Upsert Vectorspython
from pinecone import Pinecone
pc = Pinecone(api_key="$PINECONE_API_KEY")
index = pc.Index("my-index")
index.upsert(vectors=[
{"id": "1", "values": [0.1, 0.2, 0.3]}
])Tags
vector-dbsearchrag
Last updated: 2026-07-27
Get Started with Pinecone Vector Database
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