This is the Windows app named RAG-Survey whose latest release can be downloaded as RAG-Surveysourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
RAG-Survey
DESCRIPTION:
RAG-Survey is an open-source research repository that collects and organizes academic papers related to retrieval-augmented generation (RAG) systems used in modern AI applications. Retrieval-augmented generation combines large language models with external knowledge retrieval systems to improve factual accuracy and contextual understanding. The repository functions as a curated catalog of research papers categorized according to a taxonomy proposed in a related survey paper on RAG methods. It organizes literature into multiple areas including foundational RAG models, architectural improvements, and application-specific implementations. Because the field is evolving rapidly, the repository is continuously updated with newly published research and emerging techniques. The resource is intended to help researchers and practitioners quickly explore the RAG ecosystem and understand the relationships between different approaches.
Features
- Curated collection of academic papers related to retrieval-augmented generation
- Taxonomy of RAG research methods and system architectures
- Coverage of foundational, enhanced, and application-specific RAG approaches
- Continuously updated repository of emerging research papers
- Reference resource for researchers studying RAG systems
- Organization of literature related to AI knowledge retrieval techniques
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rag-survey.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.