ObsidianMD

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i know i mention this but maybe i didn't tell directly - obsidian vaults can easily be used for RAG allowing you to explore your notes in new ways. the extract_wisdom pattern from (soc.kvet.ch)

submitted 3 weeks ago by emory@soc.kvet.ch to c/obsidianmd@lemmy.world

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i know i mention this but maybe i didn't tell @obsidianmd directly - obsidian vaults can easily be used for RAG allowing you to explore your notes in new ways. the extract\_wisdom pattern from #fabricAI is great also.

actually here's an extension i came across this morning that can use Fabric's patterns:

https://github.com/chasebank87/mesh-ai

#meshAI #AI #PKM

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[–] emory@soc.kvet.ch 1 points 3 weeks ago (8 children)

@mitch @obsidianmd does that use the AI Providers extension? LocalGPT is an extension that does and doesn't have that "premium tier" thing going on.

do you configure the embeddings for local vectors and also local inference? can you compare it to like the RAG function in AnythingLLM or open-webui or something similar?

i use a variety of methods haven't got a favorite yet.

[–] mitch@hoagie.cloud 1 points 3 weeks ago (7 children)

@emory @obsidianmd i will be honest that is a question you might be more equipped to answer than i, but here are the links if you wanna check it out. i see it has a folder named LLMproviders, but i am not sure if that is what you mean or not.

obsidian://show-plugin?id=copilot

https://github.com/logancyang/obsidian-copilot

https://github.com/logancyang/obsidian-copilot/tree/master/src/LLMProviders

[–] gabek@social.gabekangas.com 0 points 3 weeks ago (3 children)

@mitch @emory @obsidianmd Do you pay for it?

[–] emory@soc.kvet.ch 1 points 3 weeks ago

@gabek @mitch @obsidianmd i don't either, i have other ways of doing what the paid version supports. i use cloud foundation models and local; my backends for embeddings are always ollama, lmstudio, and/or anythingLLM.

#anythingLLM has an easily deployed docker release and desktop application. it's not as able in managing and cross-threading conversations as LM (really Msty does it best) but #aLLM has a nice setup for agents and RAG.

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