bRAG-langchain and rag-ecosystem

These are **complements**: bRAG-langchain provides a production-ready RAG framework built on LangChain, while rag-ecosystem offers modular, educational implementations of individual RAG components that can be studied and integrated into frameworks like bRAG.

bRAG-langchain
53
Established
rag-ecosystem
50
Established
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 23/25
Stars: 4,051
Forks: 480
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 228
Forks: 70
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About bRAG-langchain

bragai/bRAG-langchain

Everything you need to know to build your own RAG application

This project provides comprehensive guides and boilerplate code for building Retrieval-Augmented Generation (RAG) applications. It takes your various documents and a user's question, then processes them to deliver accurate and contextually relevant answers. Developers, machine learning engineers, and data scientists looking to implement or enhance RAG systems will find this useful.

AI-development NLP-engineering chatbot-development information-retrieval LLM-applications

About rag-ecosystem

FareedKhan-dev/rag-ecosystem

Understand and code every important component of RAG architecture

This project helps AI developers understand and build robust Retrieval Augmented Generation (RAG) systems. It provides practical code examples and explanations for each component, from initial data indexing to advanced query transformations and system evaluation. This is for AI engineers or machine learning practitioners looking to implement or optimize RAG pipelines for their applications.

AI Development Large Language Models Information Retrieval Generative AI ML Engineering

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