There is a resurgence of traditional AI like graph frag supplementing the dominance of LLMs. While LLMs are powerful and popular, there is a need to integrate other existing technologies and tools. Vector databases can complement LLMs and show that they are not the only essential tool. Viewing LLMs as agents that can leverage the strengths of other systems is an exciting prospect.
Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.
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