Скачать или смотреть Unleashing the Power of OpenAI and Langchain: Memory Rich AI Chatbot with Your Custom Knowledge Base

Dive into the power of OpenAI and Langchain with this detailed Python tutorial! We take a closer look at how to build an AI chatbot that doesn't forget your conversations, thanks to a unique memory feature, making your AI even more responsive and interactive. Not only that, we leverage a custom knowledge base to personalize the AI's responses. It's time to bring your AI chatbot to the next level!

💡 In this video, you'll learn:

00:00 - Introduction/Project Overview
00:56 - Building the Document Loader
02:07 - Creating a Conversation Buffer Memory
03:12 - Creating the .env file
03:45 - Implementing Text Splitting and Embeddings
06:38 - Building the Vector Database
08:33 - Defining the Chat Model
09:51 - Formulating Chat Prompts
11:09 - Running the Chatbot and Retrieving Responses
12:50 - Format Database Results for User Interface
13:55 - Constructing the User Interface with Gradio
16:24 - Project Demo
19:10 - Wrapping Up

TOOLS & TECHNOLOGIES USED:
OpenAI, Langchain, Gradio, Python, FAISS, Document Loader, Chat Models, Vector Database, Conversation Buffer Memory, Custom Knowledge Base, Persistent Chatbot Memory, Prompt Engineering

Whether you're new to Python or an experienced coder looking to explore the fascinating world of AI chatbots, this tutorial is your comprehensive guide.


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Thanks to:
@daveebbelaar and his video    • Build Your Own Auto-GPT Apps with LangChai...   were great inspiration

Check out https://beebom.com/how-train-ai-chatb... for another inspiration for this video.