March 7, 2024, 7:52 p.m. | Ryan Michael

DEV Community dev.to

Retrieval-Augmented Generation (RAG) blends the generative abilities of LLMs with the retrieval of information from diverse knowledge bases (KBs). However, traditional implementations of RAG have often relied on pre-scripting the logic for selecting and utilizing these KBs.


This conventional method, while effective, places limits on the flexibility and adaptability, and performance of the applications.



But consider an alternative: applications that empower the LLM itself to determine which actions are necessary to generate a response. This approach not only harnesses the …

adaptability building components diverse flexibility generative however information knowledge llms logic performance rag retrieval retrieval-augmented scripting tool vercel

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