rag-all-techniques and RAG-for-LLMs-demo

rag-all-techniques
51
Established
RAG-for-LLMs-demo
29
Experimental
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 24/25
Maintenance 0/25
Adoption 1/25
Maturity 16/25
Community 12/25
Stars: 453
Forks: 114
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About rag-all-techniques

liu673/rag-all-techniques

Implementation of all RAG techniques in a simpler way（以简单的方式实现所有 RAG 技术）

This project provides practical, framework-agnostic implementations of various advanced Retrieval Augmented Generation (RAG) techniques. It takes unstructured text data, applies different methods for breaking it down and enriching it, and then uses a large language model to generate improved, contextually relevant answers to user queries. This is for AI practitioners, researchers, or anyone building custom question-answering systems who wants to understand and experiment with core RAG components.

AI-powered question-answering information retrieval natural language processing text analytics knowledge management

About RAG-for-LLMs-demo

gcerar/RAG-for-LLMs-demo

RAG for LLMs demo

Related comparisons

rag-all-techniques and advanced-rag rag-all-techniques and RAG rag-all-techniques and RAG-Arena rag-all-techniques and advanced-rag rag-all-techniques and RAG

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