Text-To-Speech, RAG, and LLMs. All local!
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features.
A beautiful visual interface for Google's Gemini File Search API. Manage libraries, upload files, and chat with your documents — no code required.
Vortex is a self-hosted RAG (Retrieval-Augmented Generation) application that lets you chat with your documents using any LLM provider. Upload PDFs, ingest URLs, and get accurate answers grounded in your own knowledge bases — all with a clean, modern interface.
Self-hosted AI platform — RAG chat, image/video generation, voice, self-improving agents. Runs locally via Ollama.
RAG document chat with Amazon Bedrock using Typescript on Lambda.
Mobile Chatbot and ChatDocument using Flutter and OpenAI-keys
🕸️ Open-source NotebookLM alternative with infinite canvas | Self-hosted Google NotebookLM replacement | RAG chat + PDF/Webpage/Video | Any LLM
Ask‑Docs is an app that lets you upload documents (PDF, DOC/DOCX, TXT), extracts their text in the browser, and asks questions powered by OpenAI GPT‑5. Answers are grounded to the uploaded document content and include clear fallback behavior when the answer isn’t in the file.
Intelligent document chat assistant for teams using RAG, Google Gemini, and ChromaDB. Dockerized PERN stack application.
A local, open-source alternative to NotebookLM. Chat with your documents using any LLM.
InsightDocs AI is a Streamlit-based web application that enables users to upload PDF documents and engage in conversational interactions with them using Retrieval-Augmented Generation (RAG) powered by Google's Gemini AI. Key features include PDF processing, AI-driven chat capabilities, intelligent document retrieval via FAISS vector search.
A powerful, self-hosted AI chat interface with local RAG (Retrieval-Augmented Generation), file uploads, and support for Google Gemini, OpenAI, Anthropic, and OpenRouter models. Includes session-specific context and persistent history.
AI-powered chat app that uses Retrieval-Augmented Generation (RAG) to let users upload files and have intelligent, context-aware conversations with an LLM about the file contents.
Un sistema RAG per chattare con documenti locali usando Foundry e modelli LLM su CPU
A local RAG application that lets users upload documents and chat with them using FastAPI, LangChain, ChromaDB, Ollama, and a ChatGPT-style Next.js frontend.
An Agentic RAG platform featuring per-project knowledge bases, real-time reasoning steps (query rewriting, grading), and SSE streaming. Built with FastAPI and React.
Transform how you interact with documents! Simply upload receipts, invoices, or forms and instantly chat with them. Get answers, extract key information, and save hours of manual work. Your personal document assistant that understands what matters to you.
Privacy-first, offline RAG desktop app — chat with local LLMs and your documents. 100% local, no cloud, no API keys.
Add a description, image, and links to the document-chat topic page so that developers can more easily learn about it.
To associate your repository with the document-chat topic, visit your repo's landing page and select "manage topics."