Agentic AI Chatbot

Executive Summary

This project implements a unified multi-agent conversational system that centralizes access to organizational knowledge, analytical data, and product information. A Master Agent routes user queries to specialized sub-agents, including the Help, API, Review, and Specbook Agents, allowing employees to interact naturally with one interface while drawing from both structured APIs and unstructured documentation. The system uses an LLM and a Vector Database to process more than 6,000 help files and an extensive product library, with a Data Processor converting raw documents into embedding for fast, context-aware retrieval.

For analytical and operational tasks, the API Agent connects directly to internal and third-party APIs to provide real-time financial, sales, and customer insights, while the Review Agent interprets vendor surveys and summarizes feedback. Together, these agents form an orchestrated, modular architecture that delivers accurate responses, reduces information-search friction, and significantly improves decision-making efficiency across the organization.

About Our Client

Client Name: Confidential
Industry: Software
Location: USA

Technologies

Python, FastAPI, Docker, LangChain, LangGraph, Streamlit, Gemini Models, Quadrant Vector Database, GCP VM, GitHub, and GitHub Actions
Case Study Img- Agentic AI Chatbot