LLM-RAG-Architecture and dotnet-rag-api
These are ecosystem siblings—one provides a generalizable RAG architecture reference implementation while the other is a specialized .NET 8 API implementation that could adopt or be compared against that architecture pattern.
About LLM-RAG-Architecture
matt-bentley/LLM-RAG-Architecture
Production-grade Retrieval Augmented Generation (RAG) architecture using Open Source components
This system helps professionals get accurate answers and insights from large collections of internal documents, like company policies, research papers, or technical manuals. You feed it PDF documents, and it allows you to ask questions in plain language, receiving summarized answers with citations to the original sources. This is designed for knowledge workers, researchers, or operations teams who need to quickly find information within their own organizational knowledge base.
About dotnet-rag-api
Argha713/dotnet-rag-api
A production-ready RAG (Retrieval-Augmented Generation) API built with .NET 8. Upload documents, ask questions, and get AI-powered answers with source citations and streaming support.
Scores updated daily from GitHub, PyPI, and npm data. How scores work