RAG & Knowledge
InsightPDF
Chat with PDFs and see exactly where each answer was found.
★ 49 starsMIT
View guide →PDF reader with AI chat, flashcards, annotations, and text-to-speech.
uxie is an open-source rag & knowledge project by zeus-12 (zeus-12/uxie on GitHub). It has 197 GitHub stars and 27 forks, is released under the Custom license, and was last updated on GitHub on 19 September 2026.
Download the source and enter the folder.
Pull the Node packages for the Next.js app.
Add your model and vector-DB keys per the README.
Start the app and upload your first document.
Ask questions grounded in the document.
Generated cards with AI feedback on answers.
Mark up pages as you read.
Work on documents with others live.
Listen to your documents read aloud.
Extract text from scanned pages.
Download the source and move into the project folder.
git clone https://github.com/zeus-12/uxie.git
cd uxiePull the Node packages it needs.
npm installStart the dev server after adding API keys.
npm run devIt is an open-source project at zeus-12/uxie with 27 forks.
It uses a custom license — read the repo license file before commercial use.
Yes. The AI features use services like Pinecone and an LLM provider.
Yes. It includes Liveblocks-powered collaboration.
Yes. It includes OCR for extracting text from scans.
Chat with PDFs and see exactly where each answer was found.
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Self-hosted rag & knowledge: open-source native macos ai reading workspace for pdf.
A Flutter e-reader and audiobook app with AI chat.
Turn PDFs into AI-ready data: extract Markdown, JSON and tables — and auto-tag for accessibility
The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if uxie is not the right fit.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Free and open — grab the source, star the repo, and start creating.