NikiforovAll/typical-rag-dotnet
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
This project helps developers build Retrieval-Augmented Generation (RAG) applications. It takes your documents, like PDFs, ingests them, and then allows users to ask questions in natural language. The output is a precise answer drawn from your documents, along with the source material, making it easier to build intelligent assistants.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward, out-of-the-box RAG implementation using Microsoft's Semantic Kernel and Semantic Memory.
Not ideal if you are an end-user without programming knowledge, as this project requires development expertise to set up and run.
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Language
C#
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Last pushed
Sep 03, 2024
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