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.
RAG document chat with Amazon Bedrock using Typescript on Lambda.
Visual production memory workspace for coding agents: plans, runs, artifacts, screenshots, and feedback beyond text.
Mobile Chatbot and ChatDocument using Flutter and OpenAI-keys
A local, open-source alternative to NotebookLM. Chat with your documents using any LLM.
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.
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.
A self-hosted knowledge management tool with LLM-powered document extraction, RSS feeds, web clipping, and intelligent Q&A
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.
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.
Local NotebookLM alternative for private document analysis, local RAG, document chat, and AI report exports
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.
Chat with your PDF documents using RAG. Built with LangChain, FAISS vector store, Groq LLM, and Streamlit. Every answer cites its source.
An Agentic RAG platform featuring per-project knowledge bases, real-time reasoning steps (query rewriting, grading), and SSE streaming. Built with FastAPI and React.
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