An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI
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Updated
Apr 22, 2026 - Ruby
An AI bot with RAG capability for Topics, Chat & Customer Support in Discourse, currently powered by OpenAI
AI-powered customer support platform with live chat, chatbots, and agent dashboard
A full-stack AI-powered customer support chat application built with SvelteKit, Node.js, and LLM APIs, featuring session-based conversations, persistent storage, and a clean production-ready architecture.
🚀 Revolutionize your data interaction with a cutting-edge chatbot built on Retrieval-Augmented Generation (RAG) and OpenAI’s GPT-4. Upload documents, create custom knowledge bases, and get precise, contextual answers. Ideal for research, business operations, customer support, and more!
Smart AI-powered Customer Support Chatbot | Future Interns ML Internship Task 3 | Rasa, FastAPI, Streamlit, MongoDB
A Django-based Customer Support Chatbot powered by Google Gemini (gemini-3-flash-preview). Users can sign up, sign in, create chat sessions, and interact with an AI chatbot. The project uses PostgreSQL for persistent data storage and supports automatic chat title generation.
Cloud-based IT Help Desk chatbot using AWS Lex, Lambda, Cognito, Lex Web UI and Twilio (SMS & WhatsApp)
RAG-powered AI chatbot for Twitter/X customer support. LangChain + FAISS + GPT-4 + Streamlit.
This project is a Generative AI–powered Customer Support Chatbot designed to assist users with queries in real time. It uses Python (Flask) for backend integration and the Groq API for generating intelligent, context-aware responses.
Plantilla base para una proyecto Api escalable.
AI-powered customer support chatbot built with Next.js, Gemini, Supabase, and Upstash, with lead extraction, rate limiting, and production-style API design.
🤖 Build a responsive IT Help Desk chatbot using AWS Lex for efficient support with features like password resets and network troubleshooting.
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