Видео

Thank you .

I refreshed RAG completely for a presentation. This was unbelievable good and concise

great video, direct and precise, I just want to ask you what happens if I want to give each user an ID, what would the logic be?

Hats off 🎩

I am trying to implement source CRUD in my application, but I am looking for an approach to embed docs where there is an update in the document, you he raised the question in the video butI would really like to listen to an approach to take here, creation and deletion is fine but what about the update? I don't want to embed the entire document Any responses will be very helpful, Thanks:)

This is exactly what I needed. I was struggling with extracting the message from the message object group. This short 10 min video just solved a problem I was working on for 4 hours.

can we use this to convert the data from pdfs to proper JSON format, if yes can u please tell the process and requirements for it. Would really appreciate it.

How to create a CLI Command which will accept arguments ? Like, pixegami-hello --file_name /file/path/

How can I add multi language support? So I can type in spanish and get response in the same language

Thank you for putting so much effort into this video, the quality is just magnificent. Your channel is super underrated, I hope you get the recognition that you deserve soon.

Thanks for the whole tutorial, I would suggest adding speed at the queries of the vector database with PostgreSQL with pgvector, pg_embeddings plugin.

Very well explained and done; detail information is provided, and the pace is perfect (considering I can pause and rewind). High quality. I've seen some of your other videos, and your talented at teaching!

Your videos are awesome. I have also deployed my fastapi rag app, but i used AppRunner. it simplifes a lot of the stuff. I can use backgroundtasks from fastapi.

How to change the color??

I would like it not only to be able to read PDFs but also if the final information was 'weak' or missing information, it would do an internet search on the topic provided in the 'query' and complete the final answer with the collected data. Do you think this is feasible to do? I thought about using agents for this, like crewai. I looked but couldn't find any tutorial that used both methods.

Hi there, What theme are you using?

Awesome.. can you explain if the python code asks for excel input from the user, what modifications should be done?

Wonderful presentation. Keep doing the same. Great job

Considering the following example: Somewhere in chunk #3 there's the text: "Mark buys a tomato" Somewhere in chunk #261 there's the text: "Mark buys a grapefruit" Prompt: "What fruits did Mark buy?" I expect the answer to be something like: "Mark has bought a tomato and a grapefruit" Which chunk will it return as source?

Is this approach work only in English ？ What about other language ?

Love your content!

Love your content!

Love your content!

Hey, what is the best free model for embedding out there? Cool video, great content!

Why cant i see model 4 and beyond just as yours in the video? I Just see 3.5 and its variations!

What if we want to use env variables? Where would we place them and how can we retrieve them in the py file?

I have run into a problem with the summarize_expenses function. When I run the program I keep getting the following error. Summarize expense Traceback (most recent call last): File "/run/media/bryan/589cd83a-0ff7-4a0b-9175-49a22d7b6ff3/Python/bin/expense_tracker_1.py", line 68, in <module> main() File "/run/media/bryan/589cd83a-0ff7-4a0b-9175-49a22d7b6ff3/Python/bin/expense_tracker_1.py", line 13, in main summarize_expenses(expense_file_path) File "/run/media/bryan/589cd83a-0ff7-4a0b-9175-49a22d7b6ff3/Python/bin/expense_tracker_1.py", line 56, in summarize_expenses expense_name, expense_category, expense_amount = line.strip().split(",") ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: not enough values to unpack (expected 3, got 1) I even downloaded your file from github and I get a similar error. I am not sure how to correct this problem.

Awesome video bro! Why not use AWS Kendra for the RAG block? You woulda save at least half of the video and Infra issues you faced. Still good for learning, nice job!

you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit.. post the vdo by using azure open api key Azure open ai embedding and azurechatopenai for multiple pdfs rag application.. Using azure open api end point there are no videos on RUclips so it would be helpful.. 😊

Great video. It is very complete!!! I only have one question: Why didnt you use a cloud hosting for the vector database? (Like Pinecone, for example). I mean, in Production enviroment is more efficient, isnt it? Thank you for your content! Keep it going :)

Did anyone find out how to get the langchain packages to work with pydantic?? I can't seem to do that

This was great! Thank you.

Great video why you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit.. post the vdo by using azure open api key Azure open ai embedding and azurechatopenai for multiple pdfs rag application.. Using azure open api end point there are no videos on RUclips so it would be helpful.. 😊

Great explanation of the capabilities of this library, thanks for the info. If I develop in Github, how can I make private or hidden the data files (working with local txts), or password protected?

It is really useful. Thanks a lot.

awesome, more videos about AI, please🙂

Deploying the model on the cloud would definitely be interesting! thank you for the video :D

Hi, thank you very much for the video, very helpful. I am getting this error ” 2024-06-12 11:53:56,194 - openai - INFO - error_code=None error_message=‘Unrecognized request argument supplied: assistant_id’ error_param=None error_type=invalid_request_error message=‘OpenAI API error received’ stream_error=False 2024-06-12 11:53:56,194 - __main__ - ERROR - Error calling OpenAI API: Unrecognized request argument supplied: assistant_id" What should I do, GPT doesn't give a correct answer to this

Thanks, great video! To avoid duplicate documents and to look for updated documents I use a document hash to check.

Awsome

What a great overview and comparison. Thank you for the video. By the way, the fact that variables in Python do not need to be annotated is not what makes it dynamically typed (0:11). It is what makes Python implicitly typed. As you say later (1:34) dynamic type checking more has to do with when types are checked.

Hi, this setup spike my billing very high, The setup was to build lambda function to read the latest file from the s3 dir and make transformation then finally to s3 target dir, So this all setup with the python script has to run once the s3 notification to lambda function that an file just came to s3. But it went into a loop and made the s3 and lambda billing spike Let me knew what is the issue in my setup that i didn't noticed at first while running this python script in lambda

do we have a learning path , this video is good but to advanced for me.

Did you ever post or share how to add authentication? Would appreciate if you gave some guidance or pointed in the direction of adding it. Is it still possible to deploy without it? @pixegami

Hash the value of a chunk and store the hash in the metadata?

hiii how can we get open ai api key?

Looking for more amazing content !

I thought it was well explained . The "probabilistic" unit testing scared me. Does it work ? "maybe"

which shortcut key is he using at 4:20 ?