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11min chapter
Vectoring in on Pinecone (Practical AI #277)
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Exploring Pinecone's Role in Vector Search and Retrieval
This chapter discusses Pinecone's origins and how it handles high-dimensional vectors at scale while maintaining database-like functionality. It also explains the advantages of using a vector-based search approach with embeddings in text search to understand user intent and match semantically similar content.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode