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Pinecone

by Pinecone

Verified

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

Access
API
Auth
API Key
Skills
5

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
officialfalse
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