Vectoring in on Pinecone
Practical AI
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Understanding Vector Databases
This chapter explores the emergence of Pinecone as a leader in vector databases and examines their role in enhancing data interaction for large language models. It contrasts vector-based search with traditional methods, emphasizing the advantages of using embeddings for improved semantic understanding and user intent retrieval.
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