A community-maintained collection of RAG papers and a taxonomy for RAG foundations, enhancements, and applications. It catalogs numerous papers across foundations, enhancements, and generator-related topics.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
Retrieval-Augmented Generation for AI-Generated Content: A Survey is a repository created to collect and categorize papers about Retrieval-Augmented Generation (RAG) according to the survey paper referenced in the README. The collection spans RAG Foundations, RAG Enhancements, and related categories, with numerous linked papers under each subsection.
How it works
The repository uses a taxonomy-driven catalogue to organize papers by RAG foundations, enhancements, and related areas. Listings appear under sections such as RAG Foundations with subsections like Query-based RAG, Latent Representation-based RAG, Logit-based RAG, Speculative RAG, and RAG Enhancements with subcategories (Input Enhancement, Retriever Enhancement, Generator Enhancement, etc.). Each item is represented by a bibliographic entry linking to arXiv, DOI, or other sources.
Getting started
Nothing in the README provides explicit installation or runtime instructions. The README describes the purpose and structure of the catalogue and references the survey paper, but there are no setup commands or configuration files shown.
Recent releases
RELEASES (latest 0):
- none
Traction
Stars on the repository: 1789 Forks: 124 Open issues: 5 Creation date: 2024-02-23 Last push: 2024-08-20
Behind the repo
No information about an associated startup or company is provided in the README or metadata.
Caveats
License: none listed Language: - Topics include aigc, diffusion-models, llm, multimodality, rag, survey