Chat with your pdf files.
-
Updated
Dec 7, 2023 - TypeScript
Chat with your pdf files.
DocuQuery – A lightweight Question & Answering system that lets users securely upload documents, text, and images, then query them directly.
JavaScript client library for managing your LLM data in one place
CLI tool that accepts a URL of a webpage and allows users to perform question-and-answer (Q&A) tasks on the data from the URL using a Large Language Model (LLM).
Extracting data from pdf, creating chunks of document and embedding , vector search and answer generation
This is an AI customer support model built on LangChain and customized with RAG
This project is an AI-powered movie search chat application that combines natural language understanding with intelligent query handling. Users can interact through a conversational UI built with React, where the AI interprets their input and automatically detects the intent whether searching by title, genre, rating, or release year.
A RAG based application to get insights on external data like : web URLs, pdf, youtube videos
custom data chatbot implementation using RAG(Retrieval Augmented Generation)
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.
Psychological Report Generation(PDF) with Langchain framework, and Notion Integration, Email Automation with n8n
Chatbot Demo using Next.js, LangChain and OpenAi API with RAG
Chat with your PDF documents on this AI-Powered SaaS.
Chat with LLM that speak on your audio, supports full offline mode with LibreTranslate and Ollama. Powered by Langchain.
NPM packages for sharing between TypeScript projects
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.
Add a description, image, and links to the langchain-js topic page so that developers can more easily learn about it.
To associate your repository with the langchain-js topic, visit your repo's landing page and select "manage topics."