This is an AI customer support model built on LangChain and customized with RAG
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Updated
Aug 12, 2024 - TypeScript
This is an AI customer support model built on LangChain and customized with RAG
A backend utility service built with NestJS, featuring a 3-layer architecture for API management, worker processes, blockchain interactions, AI capabilities, and game services. Utilizes TypeScript, PostgreSQL, Redis, and Docker for scalability.
A RAG based application to get insights on external data like : web URLs, pdf, youtube videos
Chat with your pdf files.
DocuQuery – A lightweight Question & Answering system that lets users securely upload documents, text, and images, then query them directly.
mint you ai characters.
AutomatedNotion is a smart tool that quickly updates English vocabulary without you having to type each word. It uses NotionAPI, LangchainJS, and ChatGPT by OpenAI, along with SerpAPI. With AutomatedNotion, you can easily add translations, definitions, IPA pronunciation, audio samples, and images to your Notion workspace.
A Chat-Bot Application where you can interact with custom user agents (like Elon, Ronaldo, etc) designed according to your needs.
Campus 360 is an AI-powered chatbot 🤖 designed to assist students, faculty, and visitors at the Model Institute of Engineering & Technology (MIET).
An enterprise-grade AI agent framework based on LangChain and LangGraph, featuring dynamic tools, interceptors, breakpoints, and performance monitoring.
SentiX is a sentiment analysis tool for twitter.
Summarizer is a command-line tool that generates comprehensive summaries of articles and other text-based content.
A minimal end‑to‑end Retrieval‑Augmented Generation (RAG) app
Chatbot Demo using Next.js, LangChain and OpenAi API with RAG
Chat with your PDF documents on this AI-Powered SaaS.
NPM packages for sharing between TypeScript projects
FUSE - Full Stack Software Engine - an AI-drive tool to generate working, live web applications
A Retrieval Augmented Generator (RAG) that operates entirely locally, combining document retrieval and language model generation to provide accurate and contextually relevant responses. Built with @langchain-ai
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