Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Retrieval Augmented Generation (RAG) is key to enterprise usage of ...
DataStax made a name for itself by commercializing the open source Apache Cassandra NoSQL database, but these days, the company's focus is squarely on using its database chops to build a "one-stop ...
SAN FRANCISCO--(BUSINESS WIRE)--RAG++ --DataStax, the AI platform company, today announced major updates to its Generative AI development platform that help make retrieval augmented generation (RAG) ...
DataStax Inc. today introduced new versions of Langflow and RAGStack, two software tools designed to ease the development of artificial intelligence applications. Santa Clara, California-based ...
The acquisition of Langflow will allow DataStax to offer a complete technology stack, including data management and a development framework, for building generative AI applications that use retrieval ...
Vectara and LangFlow announce integration of Vectara state-of-the-art Retrieval Augmented Generation and chat service with LangFlow’s easy-to-use no-code engine All of the work we put into building ...
Hands On For all the buzz surrounding them, AI agents are simply another form of automation that can perform tasks using the tools you've provided. Think of them as smart macros that make decisions ...
The database company DataStax Inc. is teaming up with Nvidia Corp. as it strives to become the data platform of choice for enterprises’ artificial intelligence initiatives. In an announcement today, ...
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...
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