wiki-rag and RAG-Simplified

wiki-rag
50
Established
RAG-Simplified
34
Emerging
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 14/25
Stars: 31
Forks: 9
Downloads: —
Commits (30d): 0
Language: Python
License: BSD-3-Clause
Stars: 5
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About wiki-rag

moodlehq/wiki-rag

An experimental Retrieval-Augmented Generation (RAG) system specialised in ingesting MediaWiki sites via their API and providing an OpenAI API interface to interact with them.

This project helps educators, content managers, or anyone maintaining a MediaWiki site to create an AI assistant that provides accurate, contextually relevant answers based on their specific wiki content. It takes content directly from your MediaWiki site via its API and outputs an interface compatible with OpenAI's API, allowing you to interact with your wiki as if it were a specialized language model. The ideal user is someone managing a knowledge base on MediaWiki who wants to leverage AI for information retrieval and content generation without losing accuracy.

knowledge-management education-technology content-creation information-retrieval wiki-management

About RAG-Simplified

ShahMitul-GenAI/RAG-Simplified

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

Related comparisons

wiki-rag and WikiRag wiki-rag and volo wiki-rag and RAG-system wiki-rag and WikiRag

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