Easy GraphRAG with Neo4j Visualisation Locally

Unlock the full potential of your AI models with GraphRAG, Neo4j, and Groq in this comprehensive tutorial! 🚀 Unlocking GraphRAG with Neo4j Visualisation Locally

In this video, we will:
Introduce you to GraphRAG and its benefits over basic RAG.
Show you how to visualize data using Neo4j.
Walk you through integrating GraphRAG with Groq for improved AI responses.
By the end of this tutorial, you'll be able to set up Neo4j locally, integrate it with GraphRAG, and visualize complex data relationships. Perfect for AI enthusiasts and developers looking to enhance their data processing capabilities.

🔗 Links:

Timestamps:
0:00 - Introduction to GraphRAG, Neo4j, and Groq
1:00 - Benefits of GraphRAG over Basic RAG
2:05 - Entity Extraction and Community Report Prompts
4:00 - Setting Up GraphRAG with Groq
5:50 - Running GraphRAG on a Sample Dataset
7:30 - Installing and Configuring Neo4j
8:50 - Importing and Visualizing Data in Neo4j
10:30 - Querying Data in Neo4j
11:50 - Final Thoughts and Future Tutorials

#graphrag #microsoft #RAG

Explore the amazing world of AI and data visualization with our detailed guide. Don't forget to like, share, and subscribe for more insightful tutorials! 💡🔔

[tollington]

Integrating MS’s graphRAG with Neo4j takes this to the next level, well done Mervin

[SmileyMundlik]

great! very helpful, looking forward for more such videos😇 thanks

[anubisai]

Openai is super expensive to do this kind of indexing of knowledge graphs. Would almost certainly need to be done locally.

[michaelhunger]

Really nice and fast video. Love the combination of GraphRAG + Groq + Neo4j. I think it would be good to use MERGE instead of CREATE in your load statements so they are idempotent and don't create new nodes or new relationships on each run.
For the indexes and constraints you can add "IF NOT EXISTS" so it doesn't fail.

[SullyOrchestration]

Thank you for answering my comment from before! Amazing.

[Prince.Dhankhar]

Hi Mervin, Your videos are inspirational and informative as always. I've few questions.
Can you please shed light on how can we insert more documents in existing Graph after creating it. While preventing duplicate entries.

Is GraphRAG appropriate for conversational chat history for long term memory of an AI companion?
And if not then what's best route for storing messages for long term memory?

It's a collage project which is going to use all open source tech which can run locally on our single 4090

[AdityaSingh-inlr]

You can directly make the files in csv format while generating indexes

[imyadavcodes]

Can you please demo with Gemini api for graphrag?

[shunmax]

Great content, thanks. Once you build the graph why do you use the LLM for the communities detection instead of a built-in algo on neo4j?

[hunkims]

Very cool! Where can I find the prompts you showed in the video?

[dolife]

Hi Mervin, can you implement this inside of obsidian notes? How will we go about using inside of Obsidian and still maintain the ability of the LLM, I'm mainly using local LLM Models.

[brianrowe]

i have neo4j running but the python import of neo4j fails. :(

[GeertBaeke]

Isn't it easier to just generate graphml files during indexing and importing the graphml files? I have not used Neo4j graphml import but works fine in Gephi.

[magicliuliu]

this mouse is neat, what is your recording software

[limjuroy]

Hi, I have a question about the "local" and "global search" functions in GraphRAG. What are the differences between them, considering that the data source is the books.txt file?

[-xx-]

Can it be done 100% totally locally using Ollama. Can you tell complete setup in a single video. Thanks

[timsereda]

are there steps that by default use cpu when they could be gpu?

[debarghyadasgupta]

Can we transform structure data also using GraphRAG?

[yashtanwar]

can you tell how to show source documents ??

[ahsanmasood]

what if I want to use my own UI for neo4j visualisations, is there a way to render that in a custom UI?