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 local, open-source alternative to NotebookLM. Chat with your documents using any LLM.
Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page citations. One-click desktop app at docuchat.app.
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.
RAG document chat with Amazon Bedrock using Typescript on Lambda.
PDFtoAudio is an accessible AI learning & document audio studio. Convert PDFs, DOCX, & eBooks into neural audiobooks, 2-host AI podcasts, sentence-synced readers, flashcards, quizzes, and grounded Q&A chat with page citations.
Mobile Chatbot and ChatDocument using Flutter and OpenAI-keys
Local NotebookLM alternative for private document analysis, local RAG, document chat, and AI report exports
Intelligent document chat assistant for teams using RAG, Google Gemini, and ChromaDB. Dockerized PERN stack application.
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.
IgniteAI Studio is an open-source multi-provider AI workspace for document-grounded chat, content generation, and structured-data querying with RAG, NL-to-SQL routing, observability, and BYO API keys.
A self-hosted knowledge management tool with LLM-powered document extraction, RSS feeds, web clipping, and intelligent Q&A
LocalDoc RAG: browser-only local document RAG for PDF/TXT/DOCX/CSV chat with Ollama, Qdrant, and plain JavaScript.
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.
High-performance, cross-platform RAG AI Assistant built with Uno Platform & .NET 10. Chat with PDFs, TXT, and MD files using Qdrant Vector DB, OpenRouter & local LLMs on Windows, Android & WebAssembly!
Built an AI-powered Enterprise Document Intelligence Platform that supports multi-format document ingestion, semantic search, RAG-based conversational querying, AI summarization, compliance analysis, and agentic workflow automation using FastAPI, vector databases, and Generative AI models.
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