What are you trying to do more specifically? You can use https://docalysis.com/ for most document RAG tasks. - Source: Hacker News / over 2 years ago

We have >200 page PDFs at https://docalysis.com/ and there's on-the-fly retrieval. It's not more computationally expensive than something like searching one's inbox (I'd image you have more than 200 pages worth of emails in your inbox). - Source: Hacker News / about 3 years ago

Docalysis [https://docalysis.com/] (suggested by u/upsontown). Source: about 3 years ago

100% agree, better to go directly to a website like docalysis.com and just use that directly. Source: over 3 years ago

How does it compare to something like https://docalysis.com? - Source: Hacker News / over 3 years ago

The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago

That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / over 2 years ago

Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago

PostgresML | You know Postgres. Now you know machine learning – PostgresML. - Source: dev.to / over 2 years ago

You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: almost 3 years ago