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Don’t be dense: Launching sparse indexes in Pinecone

Pinecone · published 5 March 2025

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https://www.libraries.rutgers.edu/databases/oed

libraries.rutgers.edu

https://www.antoniomallia.it/uploads/ECIR19c.pdf

antoniomallia.it

https://arxiv.org/abs/2109.10086

arxiv.org

https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-doc-v2-distill

huggingface.co

https://colab.research.google.com/github/pinecone-io/examples/blob/master/docs/cascading-retrieval.ipynb

colab.research.google.com

Elsewhere on pinecone.io (7)

https://docs.pinecone.io/guides/indexes/understanding-indexes

docs.pinecone.io

https://docs.pinecone.io/models/pinecone-sparse-english-v0

docs.pinecone.io

Unlock High-Precision Keyword Search with pinecone-sparse-english-v0 Read at the source ↗

Evolving Pinecone's architecture to meet the demands of Knowledgeable AI Read at the source ↗

https://docs.pinecone.io/guides/organizations/manage-cost/understanding-cost

docs.pinecone.io

Introducing cascading retrieval: Unifying dense and sparse with reranking Read at the source ↗

https://www.pinecone.io/launch-week/mar-2025/

pinecone.io