ALucek/GraphRAG-Breakdown
A breakdown of knowledge graph RAG with diagrams and examples
This project illustrates how Knowledge Graph RAG improves upon traditional information retrieval by leveraging interconnected data. It takes unstructured text, automatically identifies entities and relationships, and organizes them into a graph. The output is a system that can answer complex, multi-hop questions with clear, explainable reasoning. This is for information architects, data scientists, and researchers who need more nuanced and interpretable insights from large text datasets.
160 stars. No commits in the last 6 months.
Use this if you need to understand how to build a system that can answer complex questions by connecting disparate pieces of information, beyond simple keyword matching.
Not ideal if you are looking for a plug-and-play solution or a basic semantic search tool without the need for detailed relationship mapping.
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Last pushed
Dec 20, 2024
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