Відео

This functionality, provided by pipreqs, is exactly what I was hoping to find. Thanks for presenting it. Your presentation manner is very clear, and at a speed that allows viewers to assimilate what you are saying and typing.

Thank you !!! I was trying to parse the low quality image from last 4 days. Then I found this video. Superb!!! Thanks for this video sirrrr!!! Grateful!!!!!!!!1

What is the advantage of using AWS Bedrock instead of directly calling Anthropic API? Is the price cheaper?

Can you tell me how to stop running llm and revert

what are the system requirements?

Thanks for this amazing content I have two questions:- I am using the docling library for the pdf extraction but it has more than 500 pages and a lot of similar tables when I am using the nomic-embed-text for the embedding and the Faiss vector database retriever the issue is that the LLM is not getting the correct context from the retriever due to which I am getting the wrong answers.Will this method work for large pdfs having more than 150 tables.Would like to know more about different solution I can use through open source libraries?

How can we share dashboard within organization without granting them access on workspace?

2 Questions ========= - Yes, can it be deployed on a VPS ? - Can it read scanned docs or handwritten docs? (Heads up!, I'm a beginner)

Thanks, this helped!

Me parece mejor LocalGPT-Vision

Again fantastic content! Very valuable information. What do you prefer using for a RAG? Langchain or Llamaindex? Using docling more and more thanks to you, but I am still searching for a local ingestion/validation solution (f.e. Colpali or similar) to handle the ingestion of "difficult" (scanned complex table data) data. Llamaparse does this pretty good, but I need a local solution. If you have any ideas ... would love to hear your thoughts. Or maybe a idea for the next video ;) ...

Can you have this deployed on a vps (if with an api, even better)?

where I should put the API key for local docker qdrant? How to generate it? Thanks in advance!

Thanks a Lot

Amazing Man !!

I can't see the guardrails on the agent creation panel :/, how can I use it on my agents?

This is not the R1 model that's causing all the fuzz. this is one of the smaller distillations DeepSeek made

Thanks for this helpful video!

Thanks for putting together this nice how-to video 👏

Nice what configuration of Mac are you using and what configuration needed please let me know

without API key can you provide some examples of chat with PDF

I’m looking for a program that could analyze a pdf questionnaire responses and based on input could output a deficiency list of corrections to the completed questionnaire. Is this possible?

It's great that there are so many models, it would be useful for beginners to have information on how to load such a model onto laptop and how to attach context to this model and whether it is possible to attach it at all

Nice overview, thanks!

I have tried PhiData and it is great. Easy to use and very powerful for some use cases.

Hi sir thank you for great explanation... Just a question will this work good with pdfs containing tables

Phidata 🔥🔥🔥

Very well organized content and clear explanations. Thank you!

Thank you so much

I am getting the "Unable to get a page count. Is Poppler installed and in PATH?" error even after following all the steps; any help, pls?

have you tried out n8n or flowise also? any preference?

This is gem bro. How do you find these tools?

Dude, I am so happy to have found your channel. Gonna binge your stuff now, and gonna learn me some stuff. You rule 🤘 You get error messages, read them, understand them, then explain them... I could watch this 24/7 Nobody does it this well!

What if pdf content has multi language? Such as english and chinese? Good content btw😊

Sir, I have tried using the Ollama model and need to connect it with the agent to access the tools. However, I am unable to do so. Is there any possible way to connect Ollama with the agent? Thank you.

I am getting an error when I am trying to run this command pip3 install -r . equirements.txt, its like there is no requirements.txt document, do you know if something recently changed in this process?

Excellent details, no where I can find :-)

I like to use pyenv to install different python versions.. only problem is that I need to build a pyqt app for Windows XP! So If install the last version of python that is officially supported for xp (pyenv install 3.4.4-win32 ; pyenv global 3.4.4-win32 ) how can I install the last version of PyQt5.5.1 that works with Python 3.4 / XP? The oldest whl version I can find on PyPi is PyQt5-5.6-cp35-none-win32.whl.. but that's Python 3.5. SF does have PyQt5-5.5.1-gpl-Py3.4-Qt5.5.1-x32.exe , but that's a windows executable installer, so not sure what happens if I install it outside pyenv.. will only Python 3.4.4 be affected and not my other versions of installed python/pyqt? Interestingly there is a NEWER whl version of PyQt that supports an OLDER version of Python (PyQt5-5.8-5.8.0-cp34.cp35.cp36.cp37-none-win32.whl)

Is it possible to use a local llama API instead of OpenAI's GPT?

Thank you for this video. what is your experience with the performance of the solution. It seems that results is taking some time to be shown ?

If your pdf has both table and text it was not flattening the table into a sentence for embadding model to understand better.

Waiting for 2 next videos. 1. The part-2 2. Validation of the results of RAG

Great, you been great Koirala ji

Do i need to download the poppler and tessaract to use the unstructured api for pdf files?

Ahh, this is so cool! Thanks for including Phidata in your video!

Can we use llama 3.2 and Faissa vector database provided by meta ?

Does a Phidata fine-tuned python agent app run on Vercel with a Nextjs app? I mean, is it compatible with JS on any deployment service?

Can these AI commands be limiting?

Great sir, Keep continue this series

Awesome video, thanks!