Build a Conversational AI System that can answer questions by retrieving the answers from a document.
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Updated
Feb 23, 2024 - Jupyter Notebook
Build a Conversational AI System that can answer questions by retrieving the answers from a document.
Flask-based chatbot integrated with Twilio for real-time messaging and automated conversational interactions.
ShopSphere – Real-Time AI Avatar for E-Commerce using Azure OpenAI, RAG, and Multi-Agent Architecture
Showcases an AI assistant built with Llama, leveraging GROQ for efficient querying and processing. Create an intelligent conversational agent.
From a bot-to-human handoff event to an explainable customer journey: a discovery and prototype exercise pairing a deterministic verdict engine with AI narration. Classifies a handoff as justified, potentially avoidable, or insufficient data, with evidence.
Solo-built conversational AI framework: 168K LoC, 7,400+ tests, 5-tier memory system with cross-encoder reranking, FAISS-indexed Wikipedia (7.2M articles), 8-stage knowledge synthesis pipeline, and full RAG auditability via inline memory citations.
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