L-9 Build a Q&A App with RAG, LangChain, and Open-Source LLMs | Step-by-Step Guide

[@sangeethag8228]

Thanks a lot, Madam !!!. You are awesome at Explaining things in a very calm and simple way, whereas some RUclipsrs exaggerate. :)

[@sangeethag8228]

If I have the option to subscribe 1M times, I will do so. But for one ID, there is only one subscription. U r awesome !!!!

[@omkarsatapathy8209]

Thank you so much, madam. You really considered my comment regarding RAG implementation without any secret key. Thank you so much again.. keep posting and keep growing !! I will definitely share this video with all my Network. Happy coding !

[@CodeWithAarohi]

You are most welcome 🙂

[@neelamadhabkhaya98]

I have only 1 like option. Again and again try to like these videos. Really helpful.

[@CodeWithAarohi]

Glad my videos helped you 🙂

[@alexramos587]

Thanks.

[@CodeWithAarohi]

You're welcome

[@arnavthakur5409]

Very helpful for me

[@CodeWithAarohi]

Glad it helped

[@itsmeuttu]

Very Helpful
keep it up mam !!

[@CodeWithAarohi]

Thanks a lot

[@devavratpro7061]

Thanks Aarohi Mam for your valuable video. Can I change prompt response format in such a way that it fills the details in a fixed template:, like, filling tender fields from the requirements/specifications in a pdf file? Please guide further through the details!

[@soravsingla8782]

Good work

[@CodeWithAarohi]

Thank you so much 😀

[@KPBhan]

Very nice and thank you very much.
please help with training models ways or examples

[@GradientPlayz]

You are the best

[@CodeWithAarohi]

@@GradientPlayz Thank you

[@zeadmostafa5100]

Thank you very much for your effort.
I want to ask you if i can use colab or kaggle notebook instead of running the code in my local machine ?

[@CodeWithAarohi]

Yes, you can

[@hendoitechnologies]

post regular video about Generative AI - full course

[@CodeWithAarohi]

I will try my best.

[@thomaseldhose1006]

How can I convert my unstructured data into structured data?

[@hendoitechnologies]

post video about how to fine-tune "Claude 3.5 sonnet API" - full course video for developers..please

[@CodeWithAarohi]

Noted!

[@arshmaanali714]

Mam please create an intelligent chatbot using Streamlit and Langchain (RAG), where the
chatbot can receive voice input in Urdu/Hindi, process it, and return both text and audio responses in
Urdu/hindi. The chatbot should be able to interact with users fluently, allowing for seamless
audio-to-text and text-to-audio communication in the Urdu/Hindi
Workflow:
● Build the Streamlit interface for real-time Urdu/hindi audio input and output.
● Integrate Langchain (RAG) with an LLM (Language Model) API to generate dynamic responses
based on the user’s input. (use PDF files only)
● Ensure the chatbot responds not only with a text-based answer in Urdu/Hindi but also converts that
response back to audio and plays it for the user language.

[@CodeWithAarohi]

Noted!

[@salah5894]

please it said that i have to download the model and it took 9.5 GB , is it true ? or there is other method without downloading it

[@CodeWithAarohi]

You need to download the pretrained model. You can try using some other LLM which is smaller as compare to this model.

[@salah5894]

@@CodeWithAarohi OK thank u so so so much 💗💗

[@amalkuttu8274]

iam not able to laod the huggingfaceembeddings. it shows this error.
The specified module could not be found. Error loading "C:\Users\aj441\anaconda3\envs\llmenv\lib\site-packages\torch\lib\fbgemm.dll" or one of its dependencies.

[@CodeWithAarohi]

@@amalkuttu8274 are you running through anaconda or cmd prompt

[@amalkuttu8274]

@@CodeWithAarohi anaconda

[@eashan2405]

I also faced the same issue. Intsead of using the requirements.txt file, just install them directly using these commands:
1. conda create -n env_langchain2 python=3.10
2. conda activate env_langchain2
3. conda install pytorch torchvision torchaudio cpuonly -c pytorch
4. pip install transformers
5. pip install sentence-transformers
6. pip install langchain langchain_community langchain-huggingface langchain_experimental langchain_chroma langchainhub
7. pip install streamlit
8. conda install jupyter
9. jupyter notebook
Then test your installation by running this script in Jupyter Notebook:
import torch
import transformers
import sentence_transformers
import langchain
print("PyTorch version:", torch.__version__)
print("Transformers version:", transformers.__version__)
print("Sentence Transformers version:", sentence_transformers.__version__)
print("LangChain version:", langchain.__version__)
It worked for me! Let me know if you still face issues.

[@amalkuttu8274]

@@eashan2405 I will surely look that.