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Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
Manage episode 392138979 series 2355587
Today we’re joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed’s insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of modern vector databases (like HNSW and DiskANN) that allow them to efficiently handle massive and unstructured data sets, and discuss how they help users serve up relevant results for RAG, AI assistants, and other use cases. We also discuss embedding models and their role in vector comparisons and database retrieval as well as the potential for GPU usage to enhance vector database performance.
The complete show notes for this episode can be found at twimlai.com/go/664.
716 episodes
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Manage episode 392138979 series 2355587
Today we’re joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed’s insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of modern vector databases (like HNSW and DiskANN) that allow them to efficiently handle massive and unstructured data sets, and discuss how they help users serve up relevant results for RAG, AI assistants, and other use cases. We also discuss embedding models and their role in vector comparisons and database retrieval as well as the potential for GPU usage to enhance vector database performance.
The complete show notes for this episode can be found at twimlai.com/go/664.
716 episodes
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