AWS PoC - GPT-4 ChatBot with Chat-History with Langchain RAG + Lambda + API Gateway + PostgreSQL

Опубликовано: 01 Январь 1970
на канале: Machine Learning Hub
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Hello, Guys, I am Spidy. I am back with another video.

In this tutorial, we'll be creating a GPT-4 AWS Helper ChatBot utilizing Langchain, Lambda, API Gateway, and PostgreSQL PGVector hosted on an EC2 instance as our Vector database.

Chapters:
00:00 - Introduction to the Video
00:24 - Explanation of Proof of Concept Use Case
01:24 - Demonstration of the Application
03:25 - Overview of the Video Content
03:34 - Creation of Architecture using Eraser Tool
21:18 - Technical Implementation of the Proof of Concept
21:55 - Setting up PostgreSQL on EC2 with Hosting
35:02 - Ingesting Data into PostgreSQL PGVector VectorDB
44:10 - Setting up AWS SAM & CLI on EC2
48:28 - Explanation of AWS Lambda Handler Code
57:05 - Deployment of Lambda Application with SAM on EC2
01:02:50 - Testing API using Postman
01:03:48 - Explanation and Demonstration of Chatbot Streamlit Application

Used Services
AWS Lambda: Responsible for managing API backend Object Detection processing.
AWS SAM: Utilized for orchestrating AWS serverless services such as Lambda and API Gateway.
API Gateway: Facilitates the creation of a public REST API.
AWS EC2: Employed to host the PostgreSQL Vector database.

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#aws #lambda #chatgpt
#python #langchain


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