Ed Anuff, the chief product officer at DataStax, is with us today. We talk about Ed’s observations on RAG, vector databases, embedding models, and other topics in our conversation. We explore the foundations of contemporary vector databases (such as HNSW and DiskANN) that enable them to manage large and unstructured data sets effectively, and we talk about how they support users in providing pertinent results for RAG, AI assistants, and other use cases. We also talk about the relevance of embedding models in vector comparisons and database retrieval, and how using GPUs can improve vector database performance.
