AnythingLLM Embed widget submodule for the main AnythingLLM application
Building AI Chatbot that Empowers Customer Success with Instant, AI-Powered Assistance at Your Fingertips
customer support assistant是智能客服支持助手项目，利用LLM对Query的理解，去调用相应函数，实现智能客服功能。
This AI Agent follows the best RAG practices to help E-commerce businesses solve their Customer Support Queries.
The Customer Support AI Agent is a Python-based solution designed to monitor product prices on an e-commerce site. By utilizing an ARIMA model, it predicts future prices and sends notifications to customers when the price of a product is expected to drop in the next 10 days.
An AI-powered chat application used to upload authoritative documents
This project implements an intelligent customer support system leveraging Streamlit and a fine-tuned Llama large language model (LLM) from Hugging Face. It empowers users to interact with the system through text input, speech recognition, and tailored responses based on the chosen assistance type (Agriculture, Healthcare, Education)
This package allows developers to easily integrate AI-powered customer support and chatbot capabilities into their applications using My AskAI's advanced AI platform.
A modern, scalable helpdesk system with ticketing, knowledge base, real-time notifications, and optional AI-powered automation for smarter customer support.
DrakonSupport is a React-based AI customer service chatbot application designed to provide automated support for users
An AI-powered chatbot using Retrieval Augmented Generation (RAG) to answer queries about Indium’s services. Combines semantic search and generative models for accurate, context-aware responses.
A customer support agent that remembers conversations and provides personalized help using AI. Built with LangGraph and OpenAI, it automatically classifies customer messages, creates support tickets, and maintains conversation history.
A comprehensive toolkit for game support agents, built with C++ and Qt for efficient log analysis and automated response generation.
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