Tutorial | Chat with any Website using Python and Langchain (LATEST VERSION)

Build a Website-Interacting Chatbot with LangChain, GPT-4 and Streamlit | Python Tutorial

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🔥 In this video, we're embarking on a project-driven journey to create a chatbot that can interact with any website, extracting information with a RAG algorithm. This RAG chatbot leverages the power of large language models like GPT-4, Mistral, Llama2, and ollama, making it a cutting-edge tool. Perfect for both beginners and experienced programmers, this tutorial is packed with practical insights and step-by-step guidance. 🚀

👨‍💻 What You'll Learn:

How to integrate LangChain with GPT-4 and other large language models (LLMs) for dynamic website interaction.
Building a sleek GUI using Streamlit, making your chatbot user-friendly and visually appealing.
Implementing Python coding techniques to enhance the functionality of your LangChain chatbot.
Utilizing the latest features of LangChain 0.1.0 and understanding the advancements in LangChain 2024.
Integrating AI technologies like Pinecone, Hugging Face models, and ChromaDB for advanced data handling and processing.

🌟 What Makes This Tutorial Special:

Real-World Application: Learn to create a chatbot that's not just theoretical but has practical use in interacting with websites.
Latest Tech Stack: Explore the newest advancements in AI, including the latest LangChain 0.1 library, and Chroma database technologies for embeddings and vector storage.
Hands-On Experience: This project-driven approach ensures you get hands-on experience, making the learning process interactive and engaging.
User-Friendly Design: Understand the importance of GUI in AI applications and learn to build one with Streamlit.
Comprehensive Explanation: Every step is explained in detail, making it easy to follow along, regardless of your skill level.

✅ Who Should Watch:

Aspiring and experienced AI enthusiasts.
Python developers looking to expand into AI and chatbot development.
Anyone interested in understanding how to integrate LLMs like GPT-4 with web technologies.
💡 Don't forget to like, share, and subscribe for more content on AI, Python programming, and cutting-edge technological tutorials. Drop your questions and feedback in the comments below. Stay tuned for more innovative projects and tutorials!

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CHAPTERS
0:00 Intro
1:41 Create a Virtual Environment
3:24 Install Required Packages
4:33 Create Graphical User Interface
8:17 Create Chat Component
11:36 Make Chat Interactive
13:13 Add Mock get_response() Function
15:30 Add Chat History
19:57 Make Chat History Persistent
23:02 Display Message History
25:58 Test for URL
27:47 Explanation of RAG Algorithms
33:47 Scrap HTML Page with LangChain
38:20 Split Text into Chunks
41:51 Create Vector Store
45:01 Get OpenAI API Keys
48:40 Create Retriever Chain
57:32 Test Retriever Chain
1:00:54 Create Conversational RAG Chain
1:08:52 Refactor Session State
1:11:14 Test Conversational RAG
1:14:20 Update get_response() Function
1:18:30 Final Tests
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[anabellarivolta]

can i just say you make this whole thing bearable because your voice delivery is on point i won't go anywhere else i'm gonna learn everything here what a bless

[OkayNoway]

underrated content, edit: forgot to say thanks, was too focused with your content, Thanks!

[kazimali]

Did not take a break for an hour and 20 mins so committed :) excellent video

[regisgesnot]

I very rarely comment a video.
It was very clear, good flow to understand.
Thanks a lot

[ajaynorman]

Its an amazing tutorial! Really really good. Clear articulation and reasoning behind every line

[christophemarie-reine]

Incredible! It's the first time I understand everything just by watching a tutorial once. A true educator

[davidtindell]

Yes! We did learn a lot about the latest version of LANGCHAIN!! Thank You!!!

[smzhd]

such a gem this video is .... i don't know why your tutorials are not on trending page Bro you are just awesome 🔥🔥🔥🔥🔥🔥

[ashishmalhotra]

Your clarity and grasp of the topic are great!

[MarkOBrien-uevg]

Fantastically clear and methodical walkthrough. Keep it up!!!

[student]

Wow....seriously great tutorial....keep up the good work..👍

[AB-kbyv]

Thank you, very helpful!!
Will be interesting a video like this with the implementation of Mixtral.

[joaosantos]

Great video, u rock!! Waiting for a "Chat with any database using Python and Langchain" 💯💯

[craftedbysrs]

You are an amazing mentor. The way you explain is far better than university professors. Hope to learn more from you. Make more videos on this kind of AI app Development, Please.

[imzwgeb]

Man you're awesome!
Some day I'll be too

[FahadKiani]

the GUI tutorials are fire - God Bless

[touchthesun]

This is great, thanks so much for sharing this with us!

[ThubaMamba]

Learnt a lot from this tutorial. Thank you Alejandro.

[levinkrieger]

I was very impressed by your tutorial and your style of explaining. I am currently starting to dive deeper into AI, so this was very helpful to me :D

[adafina]

Thanks! Your video is great and has very useful info.