awesome-generative-information-retrieval
This project explores the dynamic field of generative information retrieval, focusing on how conversational models are transforming traditional search processes by utilizing credible sources. Key areas include Grounded Answer Generation and Generative Document Retrieval, expanding into recommendations and summarization. The aim is to advance retrieval systems by incorporating innovations such as Retrieval Augmented Generation, multimodal processing, and self-correction. A comprehensive collection of tools, blogs, datasets, and workshops is curated to support ongoing development in this evolving area.
