DataStax is making quite a lot of enhancements to its growth platform that may enable builders to extra simply implement retrieval augmented era (RAG) of their generative AI functions.
“The Generative AI stack is a giant and complicated ball of expertise 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 greatest: construct and develop, reasonably than worrying about software infrastructure. We’re delivering a cutting-edge, end-to-end stack to make this so much simpler,” stated Ed Anuff, chief product officer at DataStax.
The corporate is releasing Langflow 1.0, the most recent model of the visible framework for constructing RAG functions, which DataStax acquired again in April. This replace contains 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 resolution that features numerous instruments wanted to implement RAG.
RAGStack 1.0 contains assist for Langflow, a information graph designed for generative AI, ColBERT powered by Astra DB, Text2SQL and Text2CQL, and Vectorize, which is a instrument that lets builders select their embedding service.
The corporate might be demoing these new updates at its RAG++ occasion in San Francisco tonight.
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