企业微信/微信 安全使用的 LLM 个人助手/客服, 也支持 dify 工作流

Examples of chatbot implementations with Langchain and Streamlit

This project is a Streamlit web application that leverages OpenAI's GPT-4o to generate descriptions for uploaded images

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Hearti.ai is a AI health insurance agent Saas prototype. Full Stack ChatGPT Integrated NextJS Saas prototype with NextAuth Oauth2, Google, Okta providers, Supabase NextAuth plugin for user session storage, Google Fitness API, ACA Marketplace API,

Simple scripts for GPT-4o Mini using OpenAI API, LangChain and LlamaIndex.

Example application for constructing and running an LLM-based LangChain SQL Agent based on GPT-4o mini that can dynamically query a database and invoke multiple visualization tools

A Python library for language detection and translation using langchain ChatModels

ToolBox - an assistant for writing texts, generating images and transcribing audio

Unofficial web client for OpenAI Text-to-Speech API with multilingual interface and voice options

Web application that combines AI capabilities with Twitter/X functionality to create an advanced social media management tool

This project enables smart control of room and kitchen lamps through a Telegram bot, powered by an ESP8266 microcontroller and an LLM (GPT-4o-mini) for command processing.

A health management AI agent (demo app) built with Mastra and Next.js

AI Study Assistant. Upload PDFs, chat with your study materials, and generate practice exams with answer keys. Built with Streamlit, powered by OpenAI GPT-4, and enhanced with RAG (ChromaDB) for intelligent document retrieval.

An AI Companion for your discord! Locally and comprehensively logged to be future proof for other platforms and projects you plan to take your companion too.

Great pitches for great ideas: make it easy with AI!🗣️

A discord bot that processes receipts with GPT-4o Vision and turns them into an invoice embed.

LangChain App with Conversational Memory

🤖 Try to convince an AI warden to let you out of your prison!

🤖 Generate tailored AI training datasets quickly and easily, transforming your domain knowledge into essential training data for model fine-tuning.