RAG & Knowledge
uxie
PDF reader with AI chat, flashcards, annotations, and text-to-speech.
★ 197 starsCustom
View guide →Chat with PDFs and see exactly where each answer was found.
InsightPDF is an open-source rag & knowledge project by yeahhe365 (yeahhe365/InsightPDF on GitHub). It has 49 GitHub stars and 7 forks, is released under the MIT license, and was last updated on GitHub on 28 August 2026.
Download the source and enter the folder.
Pull the Node packages it needs.
Configure the API key per the README.
Upload a document and ask — then see the highlights.
Highlights exactly where answers were found.
Sees the page, not just its text.
Conversational document Q&A.
Precise regions, not vague citations.
Modern TypeScript frontend.
Condense long documents too.
Download the source and move into the project folder.
git clone https://github.com/yeahhe365/InsightPDF.git
cd InsightPDFPull the Node packages it needs.
npm installStart the app after adding your Gemini key.
npm run devIt is an open-source project at yeahhe365/InsightPDF with 7 forks.
The app is MIT licensed; Gemini API usage is billed separately.
It visually localizes answers with bounding-box highlights on the page.
Gemini multimodal models, via your API key.
Yes. The official site link runs a deployed demo.
PDF reader with AI chat, flashcards, annotations, and text-to-speech.
MCP server that lets Claude and ChatGPT edit and compare PDFs.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
An agentic AI data assistant - chat with your databases, run SQL and code, get reports
VideoRAG — chat with your videos, even hundreds of hours of them, with graph-driven retrieval.
The most-starred other RAG & Knowledge projects in the LibreAI catalogue — the realistic shortlist if InsightPDF 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.