RAG stories - Page 3

DataStax strengthens its partnership with Google Cloud, developing sophisticated integrations within the Vertex AI platform.

Neo4j forges ahead in GenAI innovation with native Google Cloud integrations, aiming to improve the development, deployment and precision of GenAI apps.

DataStax is set to enhance retrieval-augmented generation use cases through its new integration with NVIDIA, providing faster and cost-effective AI data solutions.

NVIDIA and Cloudera enhance their partnership focusing on generative AI capabilities, which will expedite the implementation of AI applications from experiment to full-scale operation.

NetApp and NVIDIA partner up to boost retrieval-augmented generation for AI applications, enhancing data access and privacy for hybrid multicloud.

Couchbase introduces vector search to facilitate AI-powered adaptive apps, claiming to be the first to offer this tool optimised for multiple platforms, from on-site to IoT devices.

DataStax launches RAGStack, a solution powered by LlamaIndex aimed at tackling challenges faced by enterprise developers in utilising retrieval augmented generation (RAG).

DataStax has announced the general availability of a new Data API, developed to bolster the performance of generative AI applications.

How does an LLM embody what it knows? There are two ways – explicitly and implicitly, and a good AI system needs to use both.  .