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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.

liunian-Jay/Awesome-RAG

💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.

60No licence

View on GitHub

Stars: 509
Forks: 26
Watchers: 6
Open issues: 3
Contributors: 6

Star history, last 90 days— over 3 snapshots

2026-07-31 · 5092026-08-06 · 509

Star history, last 90 days
Date	Stars
2026-07-31	509
2026-08-05	509
2026-08-06	509

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

<div align="center">
  <!-- <p align="center"> -->
  <h1 align="center"><strong>Awesome-RAG</strong></h1>
</div>

<div align="center">
  
  ![](https://img.shields.io/github/stars/liunian-Jay/Awesome-RAG)
  ![](https://img.shields.io/github/forks/liunian-Jay/Awesome-RAG)
</div>
  

### ‼️ This repository has not been actively maintained recently ⌛️
### ‼️ contributors interested in taking over are welcome to get in touch 👏 

💡  List of recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM).  
🤗 We welcome and encourage researchers to submit pull requests to update information in their papers!  
📫 _Repo under active development. Collaborations welcome on **Framework** & **Survey**. Contact: [email protected]._

## 📕 Overview
### [📌 Accepted papers](#Accept)
<a name="Accept"></a>
<small>

|                           |                            |                              |                          |                           | 
|---------------------------|----------------------------|------------------------------|--------------------------|---------------------------|
| NIPS 2025        | EMNLP 2025     | [ACL 2025](#ACL-2025)        | [ICML 2025](#ICML-2025)  | [ICLR 2025](#ICLR-2025)   |
| [NIPS 2024](#NIPS-2024)   | [EMNLP 2024](#EMNLP-2024)  | [ACL 2024](#ACL-2024)        | [ICML 2024](#ICML-2024)  | [ICLR 2024](#ICLR-2024)   |

</small>


### [🗓️ 2026 papers](#2026)
<a name="2026"></a>
|                                 |                                 |                                 |                                 |                                 |                                 |
|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|
| 2026.06       | 2026.05       | 2026.04       | [2026.03](#2026-March)        | [2026.02](#2026-February)  | [2026.01](#2026-January)   |


### [🗓️ 2025 papers](#2025)
<a name="2025"></a>
|                                 |                                 |                                 |                                 |                                 |                                 | 
|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|
| [2025.12](#2025-December)     | [2025.11](#2025-November)    | [2025.10](#2025-October)       | [2025.09](#2025-September)        | [2025.08](#2025-August)           |[2025.07](#2025-July)          |
| [2025.06](#2025-June)       | [2025.05](#2025-May)       | [2025.04](#2025-April)       | [2025.03](#2025-March)        | [2025.02](#2025-February)  | [2025.01](#2025-January)   |


### [🗓️ 2024 papers](#2024)
<a name="2024"></a>
|                                 |                                 |                                 |                                   |                                   |                                   |
|---------------------------------|---------------------------------|---------------------------------|-----------------------------------|-----------------------------------|-----------------------------------|
| [2024.12](#2024-December) | [2024.11](#2024-November) | [2024.10](#2024-October)   | [2024.09](#2024-September) | [2024.08](#2024-August)       |[2024.07](#2024-July)       |
| [2024.06](#2024-June)     | [2024 .05](#2024-May)     | [2024.04](#2024-Apri)      | [2024.03](#2024-March)     | [2024.02](#2024-February)     | [2024.01](#2024-January)     | 

### 🗃️ Evaluation Datasets
<a name="dataset"></a>
|                                 |                                 |                                 |                                   |                                   |                                   |
|---------------------------------|------

Excerpt of 98,785 characters

Read on GitHub

Top contributors6 shown

liunian-Jay
65
CelestineYang
6
WinstonCHEN1
Guo Chen · Southwest University · China
2
ljch2018
jchl
1
ZhishanQ
Dehai Min · University of Illinois at Chicago | ByteDance USA · United States
1
xcpeng
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

60/10060

Maintenance: 90%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 27%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 0%; How freely the code can be adopted

What to know before adopting

No tagged releases
No license — all rights reserved by default, not safe to reuse
No licence file — default copyright applies, all rights reserved.

Details

Created: 2 years ago
Last push: 11 days ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 213 KB
Owner type: User
Owner location: Harbin
Discovered via: phrase:retrieval augmented
First indexed: 7 days ago
Last synced: 17 hours ago

liunian-Jay/Awesome-RAG

💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.

60No licence

View on GitHub

Stars: 509
Forks: 26
Watchers: 6
Open issues: 3
Contributors: 6

Star history, last 90 days— over 3 snapshots

2026-07-31 · 5092026-08-06 · 509

Star history, last 90 days
Date	Stars
2026-07-31	509
2026-08-05	509
2026-08-06	509

Today

— stars today

This week

— stars this week

This month

— stars this month

Momentum

0.0

growth rate 0.00%/day

From the README

<div align="center">
  <!-- <p align="center"> -->
  <h1 align="center"><strong>Awesome-RAG</strong></h1>
</div>

<div align="center">
  
  ![](https://img.shields.io/github/stars/liunian-Jay/Awesome-RAG)
  ![](https://img.shields.io/github/forks/liunian-Jay/Awesome-RAG)
</div>
  

### ‼️ This repository has not been actively maintained recently ⌛️
### ‼️ contributors interested in taking over are welcome to get in touch 👏 

💡  List of recent developments in Retrieval-Augmented Generation (RAG) for large language models (LLM).  
🤗 We welcome and encourage researchers to submit pull requests to update information in their papers!  
📫 _Repo under active development. Collaborations welcome on **Framework** & **Survey**. Contact: [email protected]._

## 📕 Overview
### [📌 Accepted papers](#Accept)
<a name="Accept"></a>
<small>

|                           |                            |                              |                          |                           | 
|---------------------------|----------------------------|------------------------------|--------------------------|---------------------------|
| NIPS 2025        | EMNLP 2025     | [ACL 2025](#ACL-2025)        | [ICML 2025](#ICML-2025)  | [ICLR 2025](#ICLR-2025)   |
| [NIPS 2024](#NIPS-2024)   | [EMNLP 2024](#EMNLP-2024)  | [ACL 2024](#ACL-2024)        | [ICML 2024](#ICML-2024)  | [ICLR 2024](#ICLR-2024)   |

</small>


### [🗓️ 2026 papers](#2026)
<a name="2026"></a>
|                                 |                                 |                                 |                                 |                                 |                                 |
|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|
| 2026.06       | 2026.05       | 2026.04       | [2026.03](#2026-March)        | [2026.02](#2026-February)  | [2026.01](#2026-January)   |


### [🗓️ 2025 papers](#2025)
<a name="2025"></a>
|                                 |                                 |                                 |                                 |                                 |                                 | 
|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|---------------------------------|
| [2025.12](#2025-December)     | [2025.11](#2025-November)    | [2025.10](#2025-October)       | [2025.09](#2025-September)        | [2025.08](#2025-August)           |[2025.07](#2025-July)          |
| [2025.06](#2025-June)       | [2025.05](#2025-May)       | [2025.04](#2025-April)       | [2025.03](#2025-March)        | [2025.02](#2025-February)  | [2025.01](#2025-January)   |


### [🗓️ 2024 papers](#2024)
<a name="2024"></a>
|                                 |                                 |                                 |                                   |                                   |                                   |
|---------------------------------|---------------------------------|---------------------------------|-----------------------------------|-----------------------------------|-----------------------------------|
| [2024.12](#2024-December) | [2024.11](#2024-November) | [2024.10](#2024-October)   | [2024.09](#2024-September) | [2024.08](#2024-August)       |[2024.07](#2024-July)       |
| [2024.06](#2024-June)     | [2024 .05](#2024-May)     | [2024.04](#2024-Apri)      | [2024.03](#2024-March)     | [2024.02](#2024-February)     | [2024.01](#2024-January)     | 

### 🗃️ Evaluation Datasets
<a name="dataset"></a>
|                                 |                                 |                                 |                                   |                                   |                                   |
|---------------------------------|------

Excerpt of 98,785 characters

Read on GitHub

Top contributors6 shown

liunian-Jay
65
CelestineYang
6
WinstonCHEN1
Guo Chen · Southwest University · China
2
ljch2018
jchl
1
ZhishanQ
Dehai Min · University of Illinois at Chicago | ByteDance USA · United States
1
xcpeng
1

Quality score

Would you bet a product on this? Bounded 0–100 and slow moving.

60/10060

Maintenance: 90%; How recently the default branch was pushed to
Releases: 25%; Recency and cadence of tagged releases
Community: 27%; Contributor breadth and bus factor
Issue backlog: 100%; Open issues measured against the size of the audience
Documentation: 100%; README depth, plus a homepage and topics
Licensing: 0%; How freely the code can be adopted

What to know before adopting

No tagged releases

Details

Created: 2 years ago
Last push: 11 days ago
Last release: none
Release tag: —
Releases in the last year: 0
Default branch: main
Size: 213 KB
Owner type: User
Owner location: Harbin
Discovered via: phrase:retrieval augmented
First indexed: 7 days ago
Last synced: 17 hours ago

Top AI Repos — open-source AI, indexed and scored

liunian-Jay/Awesome-RAG

From the README

Top contributors6 shown

Quality score

What to know before adopting

Categories

Details

liunian-Jay/Awesome-RAG

From the README

Top contributors6 shown

Quality score

What to know before adopting

Categories

Details

Top AI Repos — open-source AI, indexed and scored

Trend

From the README

Top contributors6 shown

Quality score

What to know before adopting

Categories

Details

Trend

From the README

Top contributors6 shown

Quality score

What to know before adopting

Categories

Details