RAG-Overview and RAG

RAG-Overview

Emerging

RAG

Experimental

Maintenance 2/25

Adoption 7/25

Maturity 15/25

Community 12/25

Maintenance 2/25

Adoption 4/25

Maturity 8/25

Community 14/25

Stars: 28

Forks: 4

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 5

Forks: 3

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About RAG-Overview

ALucek/RAG-Overview

An intuitive approach towards understanding how Retrieval Augmented Generation (RAG) systems work, for the curious yet daunted reader

This resource helps anyone curious about how Retrieval Augmented Generation (RAG) systems function, especially if you've felt intimidated by the technical details. It explains how providing relevant, current, or specialized information alongside a question can dramatically improve the accuracy of large language model responses. The target audience is non-technical professionals who want to grasp the core concepts of RAG without diving into code.

AI-explainability LLM-understanding business-intelligence knowledge-management AI-strategy

About RAG

sevenjunebaby/RAG

System Retrieval Augmented Generation

Related comparisons

RAG-Overview and retrieval-augmented-generation RAG-Overview and rag-zero-to-hero-guide RAG-Overview and retrieval-augmented-generation RAG-Overview and rag-zero-to-hero-guide RAG-Overview and mlx-rag RAG-Overview and Datavizion-RAG

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