Build an AI Chatbot for Your Docs with RAG & Langchain in Python 🤖

Discover how to create a powerful retrieval-augmented generation (RAG) chatbot using Langchain and OpenAI. Perfect for turning your documents into interactive AI assistants effortlessly!

Build an AI Chatbot for Your Docs with RAG & Langchain in Python 🤖
pixegami
410.3K views • Nov 20, 2023
Build an AI Chatbot for Your Docs with RAG & Langchain in Python 🤖

About this video

Learn how to build a "retrieval augmented generation" (RAG) app with Langchain and OpenAI in Python.

You can use this to create chat-bots for your documents, books or files. You can also use it to build rich, interactive AI applications that use your data as a source.

👉 Links
🔗 Code: https://github.com/pixegami/langchain-rag-tutorial
📄 (Sample Data) AWS Docs: https://github.com/awsdocs/aws-lambda-developer-guide
📄 (Sample Data) Alice in Wonderland: https://www.gutenberg.org/ebooks/11

📚 Chapters
00:00 What is RAG?
01:36 Preparing the Data
05:05 Creating Chroma Database
06:36 What are Vector Embeddings?
09:38 Querying for Relevant Data
12:47 Crafting a Great Response
16:18 Wrapping Up

#pixegami #python

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Video Information

Views

410.3K

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Duration

16:42

Published

Nov 20, 2023

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