I’m looking for a duplicate/similarity checker against a custom set of documents. This is possibly like what plagiarism checker, but with a custom reference (instead of everything). But I could not find a solution that can be selfhosted, and have some simple UI and capabilities like Turnitin. Any suggestions?
Thanks’
lemmy@linkopath.com 10 months ago
Maybe look into self hosted llm. I’ve used two recently to help analyze a large volume of books, by ingesting them into the data set, then chat with the bot for specifics. It worked pretty well but there are some limitations, such as token length and general hallucinations. But they both use citations of the data they used, so it helps to check their work.
PrivateGPT - github.com/imartinez/privateGPT
Llamaindex - github.com/run-llama/llama_index
Both have simple selfhosted webui or actual applications. So, in theory you should be able to ingest data and then see if it then matches any submissions you submit later. But I have not really tried it for this though, so it might not work.
inspxtr@lemmy.world 10 months ago
Thanks for the suggestions! I’m actually also looking into llamaindex for more conceptual comparison, though didn’t get to building an app yet.
But I’m also looking for more literal comparison, AFAIK, the choice of embedding model will affect how the similarity will be defined. Most of the current LLM embedding models are usually abstract and the similarity will be conceptual, like “I have 3 large dogs” and “There are three canine that I own” will probably be very similar. Do you know which choice of embedding model I should choose to have it more literal comparison?
That aside, like you indicated, there are some issues. One of it involves length. I hope to find something that can build up to find similar paragraphs iteratively from similar sentences. I can take a stab at coding it up but was just wondering if there are some similar frameworks out there already that I can model after.