Скачать или смотреть Build a Health AI Chat Agent using LangChain & OpenAI | Node.js Full Backend Setup

Build a Health AI Chat Agent using LangChain & OpenAI | Node.js Full Backend Setup

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In this video, you’ll learn how to build a Health AI Chat Agent using LangChain and OpenAI — powered by a simple Node.js + Express backend.
We’ll walk step-by-step through creating an intelligent chatbot that reads from a local knowledge base, splits it into manageable text chunks, and answers user health questions accurately using RAG (Retrieval-Augmented Generation).

By the end, you’ll understand:

How to connect LangChain with OpenAI GPT models

How to load and process knowledge from a local file (seed.txt)

How chunking improves LLM comprehension

How to set up a simple Express API for AI chat

How to build scalable RAG-based chat logic

⚙️ Tech Used

Node.js (ES Modules)
Express (API Server)
LangChain (LLM Orchestration)
OpenAI GPT (gpt-4o-mini / gpt-3.5-turbo)
FS Module (File Handling)

✨ Features

Load a knowledge base from a text file

Split large text into chunks for better AI understanding

Answer health questions intelligently using OpenAI

Simple Express chat API endpoint

Clean, modular structure for scalability

💡 Notes

Chunking: Breaks large text into smaller parts so the model can handle it efficiently

RAG-Style: Uses your seed knowledge to generate accurate, context-aware answers

Scalability: For larger datasets, use vector embeddings or semantic search

Source code :
https://github.com/jitugopale2426/Lan...

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