DataStax runs ragged with vector embeddings for Astra DB
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DataStax is using Nvidia’s NIM inference and NeMo retriever microservices to generate RAG vector embeddings faster for Astra DB. DataStax provides Astra DB – a scale-out, cloud-native Cassandra-based, NoSQL database that incorporates vector embeddings – as a service. Vector Embeddings are coded, multi-dimensional representations of text, audio and images used for similarity-based semantic search in […]
Via: https://blocksandfiles.com/2024/03/15/datastax-runs-ragged-with-vector-embeddings-for-astra-db/