Advanced LLM Application Building - Knowledge Graph Construction & Graph RAG Tutorial

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Unlock the secret to building smarter AI applications with knowledge graphs! 🚀

In this video from the Advanced LLM Application Building course on Maven, you'll dive into constructing and utilizing knowledge graphs in your LLM applications from scratch. Learn how to transform data into a powerful in-memory knowledge graph, integrate it with Neo4j for persistence, and enhance your LLM applications through sophisticated multihop reasoning. The tutorial also demonstrates combining traditional RAG (Retrieval-Augmented Generation) with graph-based RAG, offering you a comprehensive approach to tackling complex queries with ease. Perfect for developers looking to elevate their AI applications using cutting-edge techniques.

Eric Brichetto

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Nice video, please create one using local llms.And also how can we optimse the process and make it scaleable.

BatukeshwarVats

it's cool! Thank for your contents. It much helps me

Could i one question?

I have 10000+ node and 50000 + relathionship in neo4j.

if i make vector_qa then maybe i vectorize the many node and relationship using openai embedding like in your code.

so i think maybe the cost and time so big and long .

That's okay or there any other know-how?

rockstar-ltrg

Advanced LLM Application Building - Knowledge Graph Construction & Graph RAG Tutorial

Advanced LLM Application Building - Knowledge Graph Construction & Graph RAG Tutorial

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