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
Source: DeepHub IMBA This article is approximately 7000 words long and is recommended to be read in over 10 minutes. This article delves into the LLM Graph Transformer framework of LangChain and its dual-mode implementation mechanism for text-to-graph conversion. The conversion from text to graph is a research area with technical challenges, where the core … Read more
Click on the top↗️「HuoShui Intelligence」, Follow + Star🌟 Author: Tomaz Bratanic Compiled by: HuoShui Intelligence Retrieval-augmented generation (RAG) has become a mainstream technology, with ample reasons supporting its widespread application. It is a powerful framework that combines advanced large language models with targeted information retrieval techniques to achieve faster access to relevant data and generate … Read more
Original link: https://blog.llamaindex.ai/multimodal-rag-pipeline-with-llamaindex-and-neo4j-a2c542eb0206 Code link: https://github.com/tomasonjo/blogs/blob/master/llm/neo4j_llama_multimodal.ipynb Image by DALL·E The rapid development of artificial intelligence and large language models (LLMs) is astonishing. Just a year ago, no one was using large language models to enhance work efficiency. But now, many people find it hard to imagine working without the assistance of large language models or … Read more