Just want to say that you're probably one of the easiest to follow and most intuitive persons I've seen on KZfaq doing guides for LLMs! Thanks!

Really appreciate all your content and how much energy you put into learning all this and sharing it. Thanks buddy

it works after ollama run mistral this thank you

Thank you so much for this tutorial, Could you make a video with some use cases with RAG in your daily life?

Harikasınız

👍Thanks! Useful information.👍

Will you be doing a video’s on ChatGPT the App version anymore?

Great! Thank you! I'd like to have the same for local code (django). One liners won't work, so how to do this?

The discord link is still not working for me. Says it’s expired. Did you update the link or is this something on my end?

very good stuff

can I add a folder including multiple PDFs and txts?

Oh Man that worksssssssssss!

Which video card and how much memory?

How would you deploy this in AWS for production? Would you use ollama and download the entire LLM model on an EC2 instance?

very interesting. issues: 1. it uses tkinter! 2. it strips the text from the pdf so it doesn't preserve page numbers - so you can't ask questions about where the text was found.

What if my pdf has like a 1 million word/token, would this still work?

Hey! There's any solution to make a good RAG like this using ollama on Openwebui?

Please how would you advice we run this on JSON files, not PDF. I have several Q-A in . JSON format, not PDF.

pdf.py has been replaced with upload.py (which handles pdf, txt and json)

Really nice work! .. but is this really fully local? ... OpenAI?

Getting this error: import PyPDF2 File "C:\Anaconda\lib\site-packages\PyPDF2\__init__.py", line 12, in from ._encryption import PasswordType File "C:\Anaconda\lib\site-packages\PyPDF2\_encryption.py", line 34, in from ._utils import logger_warning File "C:\Anaconda\lib\site-packages\PyPDF2\_utils.py", line 55, in from typing_extensions import TypeAlias ModuleNotFoundError: No module named 'typing_extensions'

no working in mac

This video is a misleading tutorial that oversimplifies the process of creating a local RAG (Retrieval Augmented Generation) system. While the presenter claims to create a "100% local RAG in around 70 lines of code," they fail to address the complexities and limitations of such a system. The tutorial relies heavily on pre-built libraries and models, such as Ollama and sentence-transformers, without providing a deep understanding of how these components work together. Moreover, the presenter does not discuss the potential drawbacks of using a local RAG system, such as the limited amount of data it can handle and the lack of real-time updates. The video may give viewers a false sense of ease in implementing a RAG system, without considering the necessary expertise and resources required for a robust and reliable solution.

This is pretty epic !! I wonder if pdfplumber might be a better fit than pypdf2 ? I have been working with plain text and that works great, but a simple text-only PDF downloaded from google docs gets quite garbled. maybe pdfplumber might not be much better tbh but I've generally heard it's very solid. I also wonder how difficult would it be to add re-ranking / recursive retrieval / corrective RAG ? are any of those even necessary given the way sentence transformers work ? Either way - big kudos for all your awesome work and sharing it with the commuity !!

I get the following error: python localrag.py Traceback (most recent call last): File "/Users/eil-its/Documents/experiments/workspace-python/llama3rag/localrag.py", line 130, in response = ollama.embeddings(model='mxbai-embed-large', prompt=content) File "/Users/eil-its/Documents/experiments/workspace-python/llama3rag/llama/lib/python3.9/site-packages/ollama/_client.py", line 198, in embeddings return self._request( File "/Users/eil-its/Documents/experiments/workspace-python/llama3rag/llama/lib/python3.9/site-packages/ollama/_client.py", line 73, in _request raise ResponseError(e.response.text, e.response.status_code) from None ollama._types.ResponseError: failed to generate embedding

raise self._make_status_error_from_response(err.response) from None openai.NotFoundError: Error code: 404 - {'error': {'message': "model 'mistral' not found, try pulling it first", 'type': 'api_error', 'param': None, 'code': None}}

i found an error when i run localrag.py File "D:\easy-local-rag-main\localrag.py", line 134, in response = ollama.embeddings(model='mxbai-embed-large', prompt=content) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\HP\AppData\Local\Programs\Python\Python312\Lib\site-packages\ollama\_client.py", line 198, in embeddings return self._request( ^^^^^^^^^^^^^^ File "C:\Users\HP\AppData\Local\Programs\Python\Python312\Lib\site-packages\ollama\_client.py", line 73, in _request raise ResponseError(e.response.text, e.response.status_code) from None ollama._types.ResponseError: failed to generate embedding