AI & ML Research 8 Hours

Last updated: July 5, 2026, 5:30 PM ET

AI & ML Research

Researchers are developing new methods for Retrieval-Augmented Generation (RAG) systems, focusing on how to dynamically assemble prompts. One approach involves combining a fixed base prompt with question-specific rules, managed by a dispatcher that translates parsed queries into typed LLM calls Assemble Each RAG Generation. This aims to improve the contextual relevance and accuracy of responses generated by large language models by ensuring each query is precisely formulated for the underlying AI.