LangChain RAG Customer Support Bot

Overview

An intelligent customer support chatbot built using LangChain and Retrieval-Augmented Generation (RAG). The bot answers customer queries about services, pricing, and booking by retrieving relevant information from a vector knowledge base.

How It Works

1. Customer sends a question
2. Query is embedded and searched against Pinecone vector DB
3. Top-k relevant chunks are retrieved
4. LLM generates a contextual, accurate response

Tech Stack

• LangChain: Orchestration and chain management
• Pinecone: Vector database for knowledge storage
• OpenAI GPT-4: Response generation
• Node.js: Backend API
• MongoDB: Conversation history storage

The bot handles 80% of support queries automatically, reducing human support load significantly.