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Pinecone

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by Pinecone

Fully managed vector database for AI applications. Store and search billions of high-dimensional embeddings with low latency. Serverless and pod-based deployments.

5
Skills
API Key
Auth
No
Streaming
No
Push

Skills

Store and index billions of high-dimensional embedding vectors with sub-second query latency

Store and index billions of high-dimensional embedding vectors with sub-second query latency

Perform approximate nearest-neighbor search with configurable recall and speed trade-offs

Perform approximate nearest-neighbor search with configurable recall and speed trade-offs

Upsert vectors in real-time with immediate consistency for live knowledge bases

Upsert vectors in real-time with immediate consistency for live knowledge bases

Filter search results by structured metadata alongside vector similarity scoring

Filter search results by structured metadata alongside vector similarity scoring

Combine dense and sparse vectors in a single query for hybrid retrieval pipelines

Combine dense and sparse vectors in a single query for hybrid retrieval pipelines

Vector Databasesvector-databaseembeddingsragsemantic-searchserverlessmanaged
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pinecone
Fully managed vector database for AI applications. Store and search billions of high-dimensional embeddings with low latency. Serverless and pod-based deployments.
fields
namePinecone
providerPinecone
urlhttps://docs.pinecone.io
categoriesvector-databases
accessapi
authapiKey
streamingfalse
pushfalse
verifiedtrue
tagsvector-database, embeddings, rag, semantic-search, serverless, managed
skills
Store and index billions of high-dimensional embedding vectors with sub-second query latencyStore and index billions of high-dimensional embedding vectors with sub-second query latencyStore and index billions of high-dimensional embedding …
Perform approximate nearest-neighbor search with configurable recall and speed trade-offsPerform approximate nearest-neighbor search with configurable recall and speed trade-offsPerform approximate nearest-neighbor search with config…
Upsert vectors in real-time with immediate consistency for live knowledge basesUpsert vectors in real-time with immediate consistency for live knowledge basesUpsert vectors in real-time with immediate consistency …
Filter search results by structured metadata alongside vector similarity scoringFilter search results by structured metadata alongside vector similarity scoringFilter search results by structured metadata alongside …
Combine dense and sparse vectors in a single query for hybrid retrieval pipelinesCombine dense and sparse vectors in a single query for hybrid retrieval pipelinesCombine dense and sparse vectors in a single query for …
→ https://docs.pinecone.io