The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
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Dec 28, 2023 Joining the conversation is Ed Anuff, Chief Product Officer at DataStax, who brings his extensive experience in startups and technology. He delves into the fascinating world of vector databases, discussing their critical role in handling massive, unstructured datasets. Ed highlights advancements in algorithms like HNSW and explores how embedding models enhance database retrieval. He shares insights on integrating live data into AI applications, the significance of data chunking, and the potential of GPUs to boost performance in generative AI systems.
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Plumtree
- Sam Charrington mentions he was an early employee at Plumtree.
- Ed Anuff replies that it was an exciting time.
DataStax and Cassandra
- DataStax added vector search to Cassandra for real-time AI applications.
- Cassandra's vector search allows LLMs to retrieve data via vector-based queries, crucial for RAG and AI assistants.
HNSW vs. DiskANN
- Vector databases initially used HNSW, derived from Lucene, for approximate nearest neighbor search.
- DataStax transitioned to DiskANN, optimized for disk I/O, to improve performance and relevancy with large datasets.