kbeaugrand/KernelMemory.StructRAG
Microsoft's Kernel Memory StructRAG implementation
This project helps AI developers enhance the accuracy of their Retrieval-Augmented Generation (RAG) applications, especially for complex, knowledge-intensive questions. It takes scattered raw information as input and transforms it into structured knowledge outputs, allowing RAG systems to infer more precise answers. This is for AI engineers and developers building sophisticated AI solutions that need to reason over large, unstructured datasets.
Use this if you are building RAG applications with Microsoft's Kernel Memory and need to improve the accuracy of answers, particularly when dealing with information that is spread across many documents or requires complex reasoning.
Not ideal if you are not already using Kernel Memory or if your RAG application's primary need is simple fact retrieval from well-structured documents.
Stars
74
Forks
9
Language
C#
License
MIT
Category
Last pushed
Nov 21, 2025
Commits (30d)
0
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