RAG with a Neo4j Knowledge Graph: How it Works and How to Set It Up

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Published 2023-12-18
In this video, Philipp Brunenberg explains how RAG (retrieval augmented generation) with a Neo4j Knowledge Graph works and how we can set it up on your laptop. He’ll also give a brief introduction on how we can customize the code from the Gen-AI Stack.

We’ll cover:
What is RAG?
How does RAG with a Neo4j Knowledge Graph work?
What are the benefits of using RAG & Neo4j?
How can I set up RAG with Neo4j using a Llama2 model and the GenAI Stack?

Links:
GenAI Walkthrough: bit.ly/4cxfPXW
Neo4j & GenAI: bit.ly/4cpAY6D
Github Repo: github.com/docker/genai-stack
RAG Blogs: neo4j.com/developer-blog/tagged/retrieval-augmente…
LLM Blogs: neo4j.com/developer-blog/tagged/llm/
‪@philippbrunenberg‬ www.philipp-brunenberg.de/

00:00 Introduction
00:29 What is RAG?
02:09 The Neo4j Vector Store
03:03 Augmenting LLM answers with RAG
04:50 Using the GenAI-Stack
06:37 GenAI-Stack Configuration
08:08 The compose file
09:47 Loading data into Neo4j
11:59 Using the chat frontend
15:30 Conclusion

#neo4j #graphdatabase #knowledgegraph #langchain #genai #rag #ollama

All Comments (21)
  • @aaen9417
    Thank you for publishing this type of content. This is absolutely amazing!
  • @AAL3087
    Great whirlwind tour to present a concrete understading of RAG with knowledge graphs in Neo4j. Thanks. Looking forward to exploring this channel more to learn more about RAG/KGs/GenAIStack etc.
  • @deepbayes6808
    This was really useful., also the presentor did an amazing job. But it was too short. I wish to see a longer more tutorial like version of it too. Or to have links to relevant knowledge and tutorials.
  • @tecnopadre
    It would be really useful to do this video adding how to convert the unstructured data to KG and the use it on a RAG. Step by step it's what makes people use Neo4j more. Thank you!
  • @leonh-kd3cm
    It is still not clear whether at the final stage what input do you provide to LLM to get the final question: - Original Question text - Text extracted from the KG nodes/edges - SO, you do not provide text associated with the best K answers resulted form initial generation of embeddings from the user prompt? ...and how to you compose the text extracted from the nodes? What is the technique?
  • @MatanItah
    About how long can we expect the StackOverflow loader to import using the settings in the video to run?
  • @RajendraKadam725
    Thanks for sharing the video @neo4j. By the way, both responses provided in the video were inaccurate. Why wasn't the correct answer generated? 🤔
  • @D1zZit
    Amazing! Planning on integrating this with my neo4j db which has 1 billion relationships, might be pushing the limits a bit 🤣🤣
  • @allminhuman2602
    Great video! What would be the minimum recommended system specs for this to work?
  • How does this compare to what MS is doing in the GraphRAG paper, it seems like MS was really jazzed on using the LLM, GPT4, (in some way it wasn't clear) to create the relationships, the edges/weights etc, and this was the secret sauce, I assume this is different from what Neo4j is doing, but could you expand?
  • @henkhbit5748
    Great video, I have Windows and ollama is not for windows yet. Can I run the docker under wsl2?
  • @podunkman2709
    Is there any loader ready to insert own data (csv or else - not pdf) instead of stackOverflow?
  • the pull mode is not in the hub anymore... what happened?