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Multi-Agent Customer Support AI

An advanced customer support automation system powered by multiple specialized AI agents working in sequence to deliver accurate, contextual, and conversational support.
Combines semantic search, classification, and response generation to create a scalable support solution.


✨ Features

  • 🧠 Multi-agent pipeline:
    • Retrieval Agent → fetches relevant knowledge
    • Classification Agent → identifies intent/query type
    • Response Agent → crafts final response
  • 🔍 Semantic search using FAISS vector database
  • 📂 Knowledge base support (FAQs, JSON datasets, documents)
  • Context-aware response generation via LLMs
  • 🎨 Interactive dashboard with Streamlit
  • 🛠 Configurable and extensible for new support domains

🧱 Tech Stack

  • Core Framework: Python
  • Orchestration: LangChain
  • Vector DB: FAISS
  • Frontend: Streamlit
  • Data: JSON/PKL datasets, FAISS index
  • LLM Integration: OpenAI (or other pluggable providers)

Preview

Screenshot 2025-08-29 at 2 39 23 AM

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