The AI layer that sits on top of the DARE Institutional Repository. Ask questions, get cited answers, build research notebooks — all powered by dspace.dare.co.zw content.
ChengetAI Labs sits on top of the DARE DSpace repository and adds a layer of AI intelligence — without replacing the underlying repository.
RoseRAG is live-connected to dspace.dare.co.zw via the DSpace 8.1 REST API. Every item, collection, and bitstream is accessible to the AI layer.
Documents are chunked, embedded, and indexed into a vector knowledge base. The AI can reason across thousands of papers simultaneously.
Ask questions in plain language and get answers grounded in DARE sources — with citations, confidence scores, and links back to the original item.
ChengetAI Labs is the AI layer that transforms the DARE repository into an evidence-first research intelligence platform.
Ask questions in plain language. RoseRAG searches across the entire DARE repository using keyword, semantic, and metadata fusion — returning cited, evidence-backed answers.
Multi-agent AI assistants trained on DARE content for researchers, students, librarians, and institutional leaders. Get answers, summaries, and literature reviews in seconds.
Automatically maps entities, citations, and relationships across DARE documents — revealing hidden connections between research papers, authors, and themes.
Collect sources from the DARE repository into AI-powered notebooks. Annotate, question, and synthesise across multiple documents in a single workspace.
Transform DARE research papers into podcast-style audio briefings and accessible summaries in multiple languages.
Every answer is grounded in DARE sources with inline citations, confidence scores, and full audit trails. No hallucinations.
AI copilots for every person in your institution who works with the DARE repository
Accelerate literature reviews, identify research gaps, and generate citation-backed syntheses from the DARE repository in minutes, not days.
ChengetAI Labs builds AI-powered research intelligence tools for institutions across Africa and beyond. Our flagship product, RoseRAG, is an open-source Knowledge Operating System that connects to institutional repositories and transforms raw documents into actionable, cited intelligence.
This platform is powered by the DARE Institutional Repository (dspace.dare.co.zw), running DSpace 8.1. All answers are grounded in DARE content — no hallucinations, no internet scraping.
Ask a question about the DARE institutional repository and get a cited, evidence-based answer in seconds.
Powered by DARE Repository · dspace.dare.co.zw · No login required
Search the DARE institutional repository, get AI answers, and read your research notebooks anywhere — even offline.
Android 7.0+ · Free download · ~15 MB
Food security findings in Zimbabwe?
Based on [DARE:1] FAO 2024…