Pinecone

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

Skills

API Key

Auth

Streaming

Push

Skills

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

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

Filter search results by structured metadata alongside vector similarity scoring

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