Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Retrieval-Augmented Generation (RAG) systems have emerged as a powerful approach to significantly enhance the capabilities of language models. By seamlessly integrating document retrieval with text ...

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...

Much of the interest surrounding artificial intelligence (AI) is caught up with the battle of competing AI models on benchmark tests or new so-called multi-modal capabilities. But users of Gen AI's ...

Vectara, an early pioneer in Retrieval Augmented Generation (RAG) technology, is raising a $25 million Series A funding round today as demand for its technologies continues to grow among enterprise ...

Also: Make room for RAG: How Gen AI's balance of power is shifting For that reason, researchers at Amazon's AWS propose in a new paper to set a series of benchmarks that will specifically test how ...

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 ...

Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...