🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision/TTS) and plugin system. One-click FREE deployment of your private ChatGPT chat application.
All-in-one AI-Powered CLI Chat & Copilot that integrates 10+ AI platforms, including OpenAI, Azure-OpenAI, Gemini, VertexAI, Claude, Mistral, Cohere, Ollama, Ernie, Qianwen...
Supercharge your 🐟 command line with AI. Get shell scripting assistance right in your fish shell. 💪
Virtual Assistant - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB
MongoDB Chatbot Framework. Powered by MongoDB and Atlas Vector Search.
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
An extension that adds support for Azure OpenAI/ OpenAI bindings in Azure Functions for LLM (GPT-3.5-Turbo, GPT-4, etc)
Query a database using natural language
自建 ChatGPT api 反向代理服务，腾讯云函数
ChatGPT-like streaming chat bot powered by Azure OpenAI and GPT-4
Comparing GPT-4 API results between OpenAI and Azure OpenAI Services
"Awesome-LLM: a curated list of Azure OpenAI & Large Language Models" 🔎References to Azure OpenAI, 🦙Large Language Models, and related 🌌 services and 🎋libraries.
AIChatUI - Azure OpenAI Chat UI Sample
This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.
A lightweight implementation of Kernel Memory as a Service
Discover a world of stories at your fingertips
This project demonstrates a small-scale proof-of-concept deployment of an enterprise chatbot leveraging the power of Azure OpenAI and Azure AI Search, built and deployed using Streamlit. Utilizing the Retrieval-Augmented Generation (RAG) pattern.
"Generative AI in Action" book's code repository
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