Querent
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Updated
Jul 5, 2024 - Python
Querent
GraphRAG 中文文档。GraphRAG是一种结构化的、分层的检索增强生成(RAG)方法,而不是使用纯文本片段的语义搜索方法。GraphRAG 过程包括从原始文本中提取出知识图谱,构建社群层级(这种结构通常用来描述个体、群体及它们之间的关系,帮助理解信息如何在社群内部传播、知识如何共享以及权力和影响力如何分布),为这些社群层级生成摘要,然后在执行基于 RAG 的任务时利用这些结构。
GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments.
A blog on what I'm learning about knowledge graphs & LLMs.
Naive RAG, Graph RAG Chatbot with LLM
Elevating RAG with Multi-Agent Systems
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).
Maskarama is an innovative god-simulation sandbox game where players wield omnipotent powers to shape the destinies of intricate AI-driven characters. Each character in Maskarama is a living entity with a unique memory graph, influenced by their experiences, perceptions, and interactions within dynamically evolving environments.
I am exploring the Graph RAG and its important concept. I have created this repository to work on my projects.
Toy GraphRAG/Knowledge Graph implementation using The Silmarillion
GraphRAG + MongoDB
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
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