Rag Techniques Frameworks RAG Tools

There are 10 rag techniques frameworks tools tracked. 1 score above 70 (verified tier). The highest-rated is Marker-Inc-Korea/AutoRAG at 70/100 with 4,609 stars. 2 of the top 10 are actively maintained.

Get all 10 projects as JSON

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#	Tool	Score	Tier	Stars	Language
1	Marker-Inc-Korea/AutoRAG AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG)...	70	Verified	4,609	Python
2	IntelLabs/RAG-FiT Framework for enhancing LLMs for RAG tasks using fine-tuning.	41	Emerging	767	Python
3	jxzhangjhu/Awesome-LLM-RAG Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation...	40	Emerging	1,312	—
4	Shaivpidadi/refrag REFRAG: LLM-powered representations for better RAG retrieval. Improve...	39	Emerging	26	Python
5	coree/awesome-rag A curated list of retrieval-augmented generation (RAG) in large language models	39	Emerging	374	—
6	IntelLabs/fastRAG Efficient Retrieval Augmentation and Generation Framework	39	Emerging	1,768	Python
7	ibm-self-serve-assets/Blended-RAG Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with...	32	Emerging	86	Jupyter Notebook
8	justinzm/RAG_course 此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。	21	Experimental	10	Jupyter Notebook
9	yangchou19/Awesome-LLM-Rag A curated list of awesome papers and resources for Retrieval-Augmented...	20	Experimental	9	—
10	The-Data-Dilemma/MediRag-Guard A RAG Proof of Concept that delivers comprehensive, context-aware insights...	16	Experimental	14	Python

Comparisons in this category

AutoRAG and fastRAG (70 vs 39) AutoRAG and Awesome-LLM-RAG (70 vs 40) AutoRAG and RAG-FiT (70 vs 41) AutoRAG and awesome-rag (70 vs 39) AutoRAG and Blended-RAG (70 vs 32) AutoRAG and refrag (70 vs 39) AutoRAG and RAG_course (70 vs 21) AutoRAG and Awesome-LLM-Rag (70 vs 20) Awesome-LLM-RAG and awesome-rag (40 vs 39) Awesome-LLM-RAG and Awesome-LLM-Rag (40 vs 20)