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

This is a step-by-step guide on building a powerful Q&A application using Retrieval-Augmented Generation (RAG), LangChain, and open-source Language Learning Models (LLMs)! In this video, we'll walk you through the entire process of creating a sophisticated question-and-answer system that leverages cutting-edge AI technology.

In this video, you'll learn:
What Retrieval-Augmented Generation (RAG) is and how it enhances Q&A systems.
How to set up and use LangChain to connect various components seamlessly.
How to integrate open-source LLMs to build a robust and efficient Q&A app.
Step-by-step instructions and code examples to help you follow along.

If you have any questions or need further assistance, feel free to leave a comment below.

[omkarsatapathy]

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 !

[neelamadhabkhaya]

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

[thomaseldhose]

How can I convert my unstructured data into structured data?

[sanjaybhan]

Very nice and thank you very much.

please help with training models ways or examples

[zeadmostafa]

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 ?

[hendoitechnologies]

post regular video about Generative AI - full course

[hendoitechnologies]

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

[amalkuttu]

iam not able to laod the huggingfaceembeddings. it shows this error.
The specified module could not be found. Error loading or one of its dependencies.