We will return later to the integration of tool APIs, but for the rest, we see the elements of a RAG approach, along with the knowledge graph. Note the presence of a “prompt processing” component.

Now, enter retrieval-augmented generation (RAG). In simple terms, RAG is a process that optimizes the output of large language models (LLMs) so they provide more accurate, reliable information. When ...

Retrieval Augmented Generation (RAG) and GraphRAG RAG is a technique that enhances AI models by providing them with relevant information retrieved from a knowledge base before generating a response.