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Comment on Is anyone playing with the combination of generative AI and OpenCyc?

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Is anyone playing with the combination of generative AI and OpenCyc?

OpenCyc specifically? No. But related semantic KB's using the SemanticWeb / RDF stack? Yes. That's something I'm spending a fair bit of time on right now.

And given that there is an RDF encoding of a portion fof the OpenCyc data out there[1], and that may make it into some of my experiments eventually, I guess the answer is more like "Not exactly, but sort of, maybe'ish" or something.

[1]: https://sourceforge.net/projects/texai/files/open-cyc-rdf/

Microsoft published quite a bit on the notion of graph RAG which is about enhancing regular RAG (retrieval augmented search) with graph databases. The idea is that instead of just pulling semantically related information to the query, it also pulls in information about things connected to those things. This gives the LLM more contextual information to work with.

Sounds like it would probably have. If you combine that with entity recognition and automated graph construction from unstructured data, you might get something that is vaguely useful.

Combine it with prolog to prove reasoning.

If you combine that with entity recognition and automated graph construction from unstructured data, you might get something that is vaguely useful.

I think that's included in the Graphrag project released from MS.

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