How to build an AI chatbot using LangChain, Claude, and PineCone скачать в хорошем качестве

How to build an AI chatbot using LangChain, Claude, and PineCone

In this tutorial, I'll walk you through the process of building an AI chatbot using LangChain, Claude by Anthropic, PineCone, and AWS Bedrock. Whether you're a beginner or just looking to expand your AI skills, this video will guide you step-by-step on how to create a chatbot that can interact with your data locally. What You'll Learn: How to set up a Python environment for AI development. How to use LangChain, a powerful framework for building applications with large language models. How to integrate Claude, a state-of-the-art language model, into your chatbot. How to set up and use PineCone, a vector database, for efficient data retrieval. How to leverage AWS Bedrock to enhance your AI applications. How to build a Retrieval-Augmented Generation (RAG) chatbot that can provide accurate and relevant responses based on your data. By the end of this video, you'll have a fully functioning chatbot running locally on your machine, capable of answering questions and interacting with your data, using advanced AI and cloud-based tools. If you find this video helpful, don't forget to give it a thumbs up and subscribe to my channel for more AI tutorials! 📚 Resources Subscribe to my newsletter and get access to my Resource Hub: https://www.pairrot.eu/subscribe https://colab.research.google.com/dri... 🔗 Connect   / lorevanoudenhove.ai     / pairrot   https://www.threads.net/@lorevanouden...   / lorevanoudenhove   🚀 Check out my website: www.pairrot.eu 🤖 Tags: Chatbot, AI, AWS Bedrock, PineCone, Anthropic Claude Timestamps 0:00 Intro 1:30 RAG explained 4:42 Setup Google Colab Notebook 5:18 Load data 7:20 Splitting text 8:48 Create Vectorstore 15:07 Query Music by Bensound.com License code: ZZAZMMAHQHTZG4Z8