I’m learning LangChain now for career reasons. One of the first projects I want to build at home is something to make LLMs much more accurate with TiddlyWiki questions. Currently thinking a RAG based on TW-com and GrokTW would be a great start. (I won’t make it public without getting permission from the authors of those sites.) I think our community would be helped by having good AI support.
About tiddlywiki.com, tiddlywiki.com/dev
The TW Contributor License Agreements (CLAs) also informs users about the license our content is published at: 2.3 Outbound License which states, that we use CC-BY 3.0 for plain text content.
So you do not need to ask for permission to use the content. IMO it is licensed properly for you to use it.
On the other hand we would highly welcome, if you would also make your work available for the broader community.
Talk-TiddlyWiki terms of service can be found at: Terms of Service - Talk TW
About Grok TiddlyWiki at the time of writing (7.Dec.2025) uses CC BY-NC-ND 4.0 as found in the projects Copyright tiddler
Since it is ND … which stands for “No derivatives”, IMO you’ll need do contact the author. Since LLMs most likely will create derivatives of the content and many examples probably do not make sense if they are used “out of context”. … @sobjornstad (any commments?)
Have fun!
Mario
PS - Desclaimer: I am not a lawyer, so take everything I post here with a grain of salt.
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