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Pinecone expands vector database with cascading retrieval, boosting enterprise AI accuracy by up to 48%
Vector database pioneer is looking to dramatically improve enterprise AI accuracy with cascading retrieval innovations.
“We’re trying to expand beyond our core vector database to solve basically the broader retrieval challenges,” Gareth Jones, Staff Product Manager at Pinecone, told VentureBeat. The key benefit of these reranking components is that they allow Pinecone to deliver optimized retrieval results by combining the outputs of the dense and sparse indexes. Pinecone is aiming to provide a tightly integrated stack where users can simply send text and get back re-ranked results, without the overhead of managing the underlying components.
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