Build an AI Chatbot for Your Docs with RAG & Langchain in Python π€
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!

pixegami
410.3K views β’ Nov 20, 2023

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.
π Links
π Code: https://github.com/pixegami/langchain-rag-tutorial
π (Sample Data) AWS Docs: https://github.com/awsdocs/aws-lambda-developer-guide
π (Sample Data) Alice in Wonderland: https://www.gutenberg.org/ebooks/11
π 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
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.
π Links
π Code: https://github.com/pixegami/langchain-rag-tutorial
π (Sample Data) AWS Docs: https://github.com/awsdocs/aws-lambda-developer-guide
π (Sample Data) Alice in Wonderland: https://www.gutenberg.org/ebooks/11
π 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
Likes
11.4K
Duration
16:42
Published
Nov 20, 2023
User Reviews
4.8
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