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A TypeScript sample app for the Retrieval Augmented Generation pattern running on Azure, using Azure AI Search for retrieval and Azure OpenAI and LangChain large language models (LLMs) to power ChatGPT-style and Q&A experiences.
Revolutionize your ChatGPT experience with our app that boasts advanced front-end features like folder organization and easily shareable chats. Keep your conversations secured by locally storing data and enjoy collaborating with anyone from around the world, without any limitations.
Chatbot application built using Next.js, React, and OpenAI. This project allows users to communicate with an AI-based chatbot that provides relevant answers to users' queries. The application uses natural language processing (NLP) technology to understand users' queries and provide accurate responses.
Explore the innovative angular-gpt-starter-kit, a dynamic tool for creating document-based Q&A applications using GPT and LangChain, integrated with Angular, Ionic, and Capacitor. This kit offers a sleek, Angular-based chat interface, leverages Google Cloud and Firebase for data retrieval, and incorporates HNSWLib for advanced vector storage.
This application serves as a demonstration of the integration of langchain.js, Ollama, and ChromaDB to showcase question-answering capabilities. With a focus on Retrieval Augmented Generation (RAG), this app enables shows you how to build context-aware QA systems with the latest information.
Langchain JS Starter Template is a TypeScript-based repository that jumpstarts your development with Langchainjs, seamlessly integrating OpenAI's language models. Start your journey building powerful language-driven applications with ease using this preconfigured template.
PDFChat application built using ReactJS Vite Framework, MongoDB for data storage, JWT for user authentication and authorization, and Node.js with Express.js for the backend.