To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

From RAG to GraphRAG. To address this limitation, Microsoft introduced the concept of GraphRAG in early 2024. GraphRAG organizes information into a graph of knowledge, enabling it to leverage ...

As LLMs become more capable, many RAG applications can be replaced with cache-augmented generation that include documents in the prompt.

In the most basic sense, RAG refines the responses of generative AI models through Knowledge Grounding, which makes generative AI results more precise. It also ensures the generated responses are ...

Suppose an AI assistant fails to answer a question about current events or provides outdated information in a critical situation. This scenario, while increasingly rare, reflects the importance of ...