How to build AWS RAG Chatbot With Graphical Interface?
In this video, I walk you through the end-to-end process for building a powerful RAG-based chatbot using Bedrock, Lambda function, API Gateway, and Streamlit for creating a graphical interface.
Please give this video a like if you found it helpful! 😊 Comment down below what you are mainly using AWS Bedrock for ⬇️
▬▬▬▬ Chapters ▬▬▬▬
0:00 Project introduction and workflow.
2:47 How to create an S3 bucket and OpenSearch Knowledge base.
8:07 How to create a lambda function to interact with AWS Bedrock.
16:46 How to test lambda function for a chat system.
18:14 How to create an API Gateway to interact with the lambda function.
20:28 How to test and deploy an API Gateway.
21:58 How to interact with an API Gateway link from Postman.
23:32 How to build a graphical interface for AWS RAG.
28: 00 How to delete a bedrock knowledge base
Source code: https://github.com/keitazoumana/bedrock-chatbot-with-graphical-interface
▬▬▬▬ 🔗 Watch these videos next ▬▬▬▬
How to Build RAG-based Chatbot: 5 Steps with Amazon Bedrock
https://youtu.be/sC8vcRuHDB0
How to Build Anything With AI Agents - With Code:
https://www.youtube.com/watch?v=NDIkQ3jises
PDF to JSON: LLM-Powered Data Extraction In Python:
https://www.youtube.com/watch?v=37i6Gx1uvVs
Multimodal RAG: Text, Images, Tables & Audio Pipeline:
https://www.youtube.com/watch?v=D5iKsvK7cXg&t=1s
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