The Problem: Traditional chatbots are rigid and fail at answering complex, company-specific quest...The Problem: Traditional chatbots are rigid and fail at answering complex, company-specific quest...
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Mudassir Ali
• Aug 4
The Problem: Traditional chatbots are rigid and fail at answering complex, company-specific questions, frustrating users and escalating too many tickets to human agents.
The Solution: An intelligent chatbot integrated with Retrieval-Augmented Generation (RAG). It ingests the company’s FAQs, product manuals, and past support tickets to provide accurate, conversational answers, escalating to a human only when necessary.
Tech Stack: Python, LangChain, OpenAI API, Pinecone (Vector Database), React/Next.js for the frontend.
Key Features Highlight:
Dynamic context retrieval (reads PDFs and website data).
Sentiment analysis to detect frustrated customers.
Seamless human handoff protocol.
AI Agent DesignerOpenAIVisual Studio Code
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