Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
LLM Graph RAG: A Hands-on Guide to Building Advanced, Graph-Based Retrieval-Augmented Generation with LLMs

LLM Graph RAG: A Hands-on Guide to Building Advanced, Graph-Based Retrieval-Augmented Generation with LLMs

Lane, Maxime

Paperback

General Computers

ISBN13: 9798309538270
Publisher: Independently Published
Published: Feb 5 2025
Pages: 128
Weight: 0.52
Height: 0.27 Width: 7.00 Depth: 10.00
Language: English

LLM Graph RAG: A Hands-On Guide to Building Advanced, Graph-Based Retrieval-Augmented Generation with LLMs

Unlock the power of Graph-Based Retrieval-Augmented Generation (RAG) to build intelligent AI systems that retrieve, reason, and generate knowledge like never before!

In the era of Large Language Models (LLMs), retrieval-augmented generation (RAG) has emerged as a game-changing technique to enhance accuracy, reduce hallucinations, and provide reliable responses. But what if we could go beyond traditional retrieval techniques and integrate the power of knowledge graphs and Graph Neural Networks (GNNs) for even deeper reasoning and richer knowledge representation?

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