asinghcsu/AgenticRAG-Survey resource
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents. observed · 2026-08-28
Health v2 · maintenance only
42/100
- Activity 47
- Release rhythm 35
- Longevity 42
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 601
- days_rel: n/a
- days_push: 318
- n_releases_24m: 0
Adoption not part of the score
1723 stars · 185 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A survey repository accompanying the arXiv paper 'Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG', providing a taxonomy, visualizations, and analysis of Agentic RAG systems. It covers agentic patterns like reflection, planning, tool use, and multi-agent collaboration, plus comparisons of RAG frameworks and real-world applications.
Use cases
- learn how agentic RAG differs from traditional RAG
- find a taxonomy of agentic RAG architectures
- understand multi-agent RAG patterns like reflection and planning
- research corrective and adaptive RAG systems
- find real-world applications of agentic RAG in healthcare and finance
- cite a survey on agentic retrieval-augmented generation
When to choose
- you need a conceptual overview or literature review of Agentic RAG
- you are researching agent design patterns for retrieval pipelines
- you want diagrams and taxonomy references for a paper or presentation
When to avoid
- you need production-ready RAG code or a runnable framework
- you want a maintained software library with tests and releases
- you need a licensed codebase to build on
Facets
learning-resource · maturity active
rag agent-framework llm-inference nlp documentation artificial-intelligence large-language-models tutorials cross-platform survey-paper agentic-rag llm-agents multi-agent-systems academic-research taxonomy retrieval-augmented-generation ai-agents natural-language-processing
6 sources
- readme: https://github.com/asinghcsu/AgenticRAG-Survey · fetched 2026-08-28 · 780fdaf6707b
- homepage: https://arxiv.org/abs/2501.09136 · fetched 2026-08-29 · ba4ef12a45c2
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| asinghcsu/AgenticRAG-Survey | main | 42 |
For agents
markdown · JSON · MCP: product_card(name="asinghcsu/AgenticRAG-Survey")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem