DataStax is making a number of improvements to its development platform that will allow developers to more easily implement retrieval augmented generation (RAG) in their generative AI applications.

In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes.

Image: John Tredennick, Merlin Search Technologies with AI. As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating the ...

Retrieval-augmented generation—or RAG—is an AI strategy that supplements text generation with information from private or proprietary data sources, according to Elastic, the search AI company. RAG ...

Elastic has just released a new tool called Playground that will enable users to experiment with retrieval-augmented generation (RAG) more easily. RAG is a practice in which local data is added to an ...

What if building advanced AI-powered search systems didn’t require a team of engineers or months of development? Imagine uploading a few files, tweaking minimal settings, and instantly allowing your ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Gauge the potential threat level of SGE on your site traffic. Get insights into the likely changes to the search demand curve and CTR model. Search, as we know it, has been irrevocably changed by ...