Smart Support Chatbot
Context
Smart Support Chatbot is a LangGraph-based conversational agent designed to handle customer service, support, and operational tasks through advanced API orchestration. The chatbot can manage customer queries, execute support actions, and perform complex workflows by calling internal and third-party APIs. It supports Augmented Retrieval-Augmented Generation (RAG), allowing it to combine real-time external data with document-based knowledge for accurate, contextual responses. It can also integrate with shopping carts, CRMs, and other external services to retrieve or modify user-specific data, making it a powerful tool for e-commerce, SaaS, and enterprise platforms.
What we did on it...
Project Ideation
The chatbot was envisioned to streamline support workflows by combining conversational AI with real-time backend API interaction and document retrieval.
System Design and Integration
Built using LangGraph, the system leverages stateful, multi-step workflows to coordinate API calls, user context, and document search. Augmented RAG enables the agent to fetch knowledge from vector stores and external endpoints simultaneously.
Development and Deployment
The agent was developed with modular LangGraph nodes for API access, fallback logic, user intent recognition, and memory handling. It integrates with REST and GraphQL endpoints, shopping carts, CRMs, and third-party services.
Testing and Optimization
Extensive tests were performed on API reliability, RAG response quality, edge cases in conversation flows, and latency. A/B testing was used to fine-tune prompt chains and agent routing logic.