Working with Knowledge Graph (.ttl) for Retrieved Augmented Generation purpose

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Hi everyone,

This topic is more a general discussion, as i'm looking for experiences or opinions.

Have you ever used a knowledge graph hosted on Stardog to set up a RAG. More specifically, as a external data source on which the LLM relies to answer a question?

My question concerns the interpretability of a Knowledge Graph into something that the LLM can understand (a collection of triplets, for example).

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If you're talking RAG and Stardog you should start with their new Voicebox feature and what they're calling Safety RAG. Safety RAG: Improving AI Safety by Extending AI's Data Reach | Stardog

If you're taking about backing a RAG based LLM solution in general take a look at the work done by Microsoft Research on GraphRAG GraphRAG: Unlocking LLM discovery on narrative private data - Microsoft Research

On a somewhat related topic that I just came across this, llama3 in a single Java file! GitHub - mukel/llama3.java: Practical Llama 3 inference in Java

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Your answer is very informative, it's great.

The link to Github is great, that's the kind of thing I was looking for.

Thanks a lot!

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You're very welcome. I think Stardog is a much overlooked platform for not only using AI but for AIOps. I'm going to hop in my Time Machine and head back to this SimplePhotoAnnotation - W3C Wiki Check out the time stamp at the bottom. 2005!

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