DataStax releases a lot of updates to raised facilitate RAG implementation

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DataStax is making a lot of enhancements to its growth platform that may permit builders to extra simply implement retrieval augmented technology (RAG) of their generative AI purposes. 

“The Generative AI stack is a giant and sophisticated ball of know-how that many are working to get their arms round. We’re centered on serving to builders keep true to their roots to allow them to do what they do finest: construct and develop, quite than worrying about utility infrastructure. We’re delivering a cutting-edge, end-to-end stack to make this loads simpler,” stated Ed Anuff, chief product officer at DataStax.

The corporate is releasing Langflow 1.0, the latest model of the visible framework for constructing RAG purposes, which DataStax acquired again in April. This replace consists of dozens of integrations with different generative AI instruments, together with LangChain, LangSmith, OpenAI, Hugging Face, and Mistral. It additionally features a cloud-hosted model of Langflow inside DataStax Cloud and entry to LangSmith’s observability capabilities. 

DataStax additionally introduced RAGStack 1.0. RAGStack is an out-of-the-box answer that features varied instruments wanted to implement RAG. 

RAGStack 1.0 consists of help for Langflow, a information graph designed for generative AI, ColBERT powered by Astra DB, Text2SQL and Text2CQL, and Vectorize, which is a software that lets builders select their embedding service. 

The corporate will probably be demoing these new updates at its RAG++ occasion in San Francisco tonight.


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