Graph RAG

Unlocking Intelligent Conversations on Python Websites with GPT-4, Langchain, and Graph RAG

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Unlocking Intelligent Conversations on Python Websites with GPT-4, Langchain, and Graph RAG

Author: Sienna Reviewed by: Los ▲Figure 1 | Graph RAG Diagram ©️【Deep Blue AI】Compiled This article will delve into the highly regarded open-source LLM project on GitHub, providing a detailed guide on how to utilize the Graph RAG (Retriever-Augmented Generator with Graph) technology, in conjunction with the Langchain framework and the capabilities of GPT-4 (or … Read more

Graph RAG: Merging Knowledge Graphs with Large Models

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Training Materials September 2024 Issue This video is a community sharing report from the AI-themed discussion meeting of the Yunhan Community held on August 3, 2024. Speaker: Chen Xiaoyang (Member of the Yunhan Community Committee, General Manager of Fucheng Company) Report Title: “Graph RAG – When Knowledge Graphs Meet Large Models“ AI Video Summary: This … Read more

Comparative Analysis of GraphRAG and RAG

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Comparative Analysis of GraphRAG and RAG

Source: DeepHub IMBA This article is about 1600 words long and is recommended to be read in 5 minutes. Retrieval-Augmented Generation is a technical approach aimed at enhancing the performance of large language models. Overview of Retrieval-Augmented Generation (RAG) Technology Retrieval-Augmented Generation (RAG) is a technical method aimed at enhancing the performance of Large Language … Read more

From Traditional RAG to Graph RAG – When Large Models Meet Knowledge Graphs

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From Traditional RAG to Graph RAG - When Large Models Meet Knowledge Graphs

Abstract: The transition from traditional RAG to Graph RAG enhances large language models by integrating knowledge graphs, enabling them to provide more detailed and accurate responses to complex queries. The effectiveness of Graph RAG also depends on the quality and breadth of the underlying knowledge graph and the engineering aspects of RAG. Main Points: – … Read more