shuyu-labs/GraphRag.Net
参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中
This project helps you turn large collections of documents, like research papers or company reports, into an organized knowledge graph that you can easily query. It takes your raw text documents, extracts key entities and their relationships, and then structures them into an interactive graph. Researchers, analysts, or anyone dealing with extensive text-based information can use this to gain deeper insights and ask complex questions that go beyond simple keyword searches.
247 stars.
Use this if you need to build a structured knowledge base from unstructured text documents and want to ask complex, interconnected questions about the information within them.
Not ideal if you only need basic keyword search functionality or if your data is already structured and doesn't require entity extraction.
Stars
247
Forks
33
Language
C#
License
Apache-2.0
Category
Last pushed
Oct 28, 2025
Commits (30d)
0
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