The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

If you looked under the hood of generative AI (GenAI) technologies over the last year or so, you probably came across the concept of retrieval augmented generation (RAG). RAG has gained a lot of buzz, ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...

To date, much of the early conversation about putting AI into production at scale has centered on the need for good prompt engineering — the ability to ask the right questions of this powerful ...