Custom Web Chatbot | Agentic AI Project | Euron
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Learn how to build a custom website chatbot using Llama 2 and LangChain in this comprehensive video. Perfect for beginners, this video walks you through every step to create a powerful chatbot that leverages your website’s data to provide intelligent responses. Kickstart your programming journey with practical examples and a clear, structured approach.
What you’ll learn in this video:
Step-by-step guide to implementing Llama 2 with LangChain.
How to extract and process website data using LangChain.
Setting up Hugging Face models and building semantic search with Pinecone.
Creating embeddings and integrating them into a functional chatbot.
Real-world applications of open-source large language models.
Whether you're new to coding or looking to enhance your AI development skills, this video is perfect for you. Hit play and code along to build your chatbot with ease. Like, Subscribe, and hit the notification bell to stay updated with more video from Euron !
Start building your chatbot today and take your programming skills to the next level!
#aiautomation #aiautomationagency #huggingface #langchain #aisearch
CHAPTERS:
00:00 - Intro
01:42 - Checking for GPU Compatibility
03:00 - Installing Required Libraries
03:02 - Logging into Hugging Face Account
04:04 - Obtaining Model Token
05:19 - Loading Model and Tokenizer
08:15 - Generating Responses with the Model
09:30 - Utilizing LLM2 for Applications
15:41 - Project Overview and Objectives
22:40 - Setting Up Project Environment
25:06 - Extracting Data from Website
28:06 - Converting Data into Chunks
29:33 - Downloading Hugging Face Embedding Model
31:37 - Initializing Pinecone Vector Database
35:36 - Setting Up Hugging Face LLM Model
37:42 - Integrating LLM in Web Application
38:58 - Implementing Retrievable QA System
41:00 - Conclusion
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