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.
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.
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.
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