Airmomo/graphrag-practice-chinese
GraphRAG的应用实例，项目特点在于提供了替换OpenAI模型的方法，并通过修改原有提示和切分文档的方法，提高了GraphRAG处理中文内容的能力。
This project helps researchers and analysts working with large volumes of Chinese text by making it easier to extract insights using a technique called GraphRAG. It takes your Chinese text documents (like research papers, reports, or literature) as input and processes them to generate structured summaries and answers to complex questions, optimized for the nuances of the Chinese language. Anyone needing to understand relationships and themes within extensive Chinese textual data would benefit.
185 stars. No commits in the last 6 months.
Use this if you need to perform in-depth analysis and extract detailed, interconnected information from a large collection of Chinese text documents.
Not ideal if you are working with non-Chinese text or if you only need simple keyword searches rather than complex, relational insights.
Stars
185
Forks
15
Language
Python
License
MIT
Category
Last pushed
Nov 02, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/Airmomo/graphrag-practice-chinese"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
neo4j/neo4j-graphrag-python
Neo4j GraphRAG for Python
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
Hawksight-AI/semantica
Semantica 🧠 — A framework for building semantic layers, context graphs, and decision...
FalkorDB/GraphRAG-SDK
Build fast and accurate GenAI apps with GraphRAG SDK at scale.
getzep/graphiti
Build Real-Time Knowledge Graphs for AI Agents