HugeGraph-LLM

Mon, 01 Jan 0001 00:00:00 +0000

Please refer to the AI repository README for the most up-to-date documentation, and the official website regularly is updated and synchronized.

Bridge the gap between Graph Databases and Large Language Models

AI summarizes the project documentation: Ask DeepWiki

🎯 Overview

HugeGraph-LLM is a comprehensive toolkit that combines the power of graph databases with large language models. It enables seamless integration between HugeGraph and LLMs for building intelligent applications.

GraphRAG UI Details

Mon, 01 Jan 0001 00:00:00 +0000

Follow up main doc to introduce the basic UI function & details, welcome to update and improve at any time, thanks

1. Core Logic of the Project

Build RAG Index Responsibilities:

Split and vectorize text
Extract text into a graph (construct a knowledge graph) and vectorize the vertices

(Graph)RAG & User Functions Responsibilities:

Retrieve relevant content from the constructed knowledge graph and vector database based on the query to supplement the prompt.

2. (Processing Flow) Build RAG Index

Construct a knowledge graph, chunk vector, and graph vid vector from the text.