Тёмный

How to build a local PDF RAG solution with zero code 

GPT Odyssey
Подписаться 1,5 тыс.
Просмотров 2,2 тыс.
50% 1

Опубликовано:

 

15 окт 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 11   
@rossinidesigner1
@rossinidesigner1 4 месяца назад
Amazing video, thank you so much.
@AnuragTyagi96
@AnuragTyagi96 3 месяца назад
How do you set threshold/similarity scores for QnA with Documents and also if it can reference the page number/file?
@gptOdyssey
@gptOdyssey 3 месяца назад
No you can't. It's just an easy-to-use RAG solution with Open WebUI, off-the-shelf with no customisation. Have a look at their RAG code if you are interested. github.com/open-webui/open-webui/blob/2fa94956f4e500bf5c42263124c758d8613ee05e/backend/apps/rag/main.py#L328
@Leonardo-qe1on
@Leonardo-qe1on 4 месяца назад
Gold! Great video
@FaithfulStreaming
@FaithfulStreaming 4 месяца назад
Hey your computer can't handle 3 models at the same time unless you have more RAM to run them all.
@gptOdyssey
@gptOdyssey 4 месяца назад
Yeah seems like the Mac is not powerful enough.
@FaithfulStreaming
@FaithfulStreaming 4 месяца назад
Great vid
@sunnyhaoshiyu9728
@sunnyhaoshiyu9728 4 месяца назад
"In this short video....." Dude, it is a 41min video.
@gptOdyssey
@gptOdyssey 3 месяца назад
Lol you are right. I was hoping to make a short video. Hopefully the timestamp helped!
@gnosisdg8497
@gnosisdg8497 4 месяца назад
this does not have rag !!!
@gptOdyssey
@gptOdyssey 3 месяца назад
docs.openwebui.com/tutorial/rag
Далее
Chat with your PDF Using Ollama Llama3 - RAG
6:18
Просмотров 4,1 тыс.
Does Deno 2 really uncomplicate JavaScript?
8:55
Просмотров 288 тыс.
This is How I Scrape 99% of Sites
18:27
Просмотров 122 тыс.
Python RAG Tutorial (with Local LLMs): AI For Your PDFs
21:33