# jxzhangjhu/Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

Repository: https://github.com/jxzhangjhu/Awesome-LLM-RAG
Canonical: https://ross.abutalabs.com/products/awesome-llm-rag
License Family: other
Topics: embeddings, large-language-models, llm, rag, retrieval-augmented-generation, retrieval-information, rag-embeddings
Last push: 2026-07-22T03:17:18+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 35, longevity 74
- inputs: {"age_days": 1042, "days_push": 42, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1343, forks 94 (observed 2026-08-28T04:04:26.446900+00:00)

## What it is
A curated awesome-list of advanced papers, tutorials, workshops, and resources on Retrieval Augmented Generation (RAG) in Large Language Models. It organizes research by topics such as RAG embeddings, evaluation, optimization, and applications.

## Use cases
- find research papers on retrieval augmented generation
- learn about RAG techniques for LLMs
- survey the state of the art in RAG embeddings
- find RAG evaluation and benchmarking papers
- discover tutorials and workshops on building RAG systems
- keep up with new RAG research via community updates

## When to choose
- you are a researcher or engineer surveying RAG literature
- you want a curated, categorized reading list on retrieval-augmented generation
- you need references for RAG evaluation, optimization, or long-context memory

## When to avoid
- you need runnable RAG software or a framework rather than papers
- you want production tooling for building a RAG pipeline
- you need guaranteed up-to-date or peer-reviewed content

## Facets
- artifact type: learning-resource
- maturity: active
- function: rag, nlp, llm-inference, search-engine
- domain: large-language-models, machine-learning, awesome-lists
- platform: -
- tags: awesome-list, curated-papers, research-papers, embeddings, retrieval, tutorials, retrieval-augmented-generation, natural-language-processing, web-server

## Member repositories
- jxzhangjhu/Awesome-LLM-RAG (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:26.446900+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:42:54.403750+00:00, confidence not recorded.
  - readme: https://github.com/jxzhangjhu/Awesome-LLM-RAG (fetched 2026-08-28T04:04:26.446900+00:00, sha 4e6b8ccba9e4)
- Data as of 2026-08-30T08:39:29.467469+00:00.