🎉 Milestone 1 Achieved!
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RACHEL AI: Offline Semantic Search
Students type a natural question and get relevant results from across all their content — ZIMs, HTML modules, Kolibri channels, user-uploaded materials — grouped by source, ranked by relevance. It understands meaning, not just keywords. Runs entirely on the device, no internet needed.
▶ Watch the prototype demo
Funding the Next Milestone
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✅ Milestone 1: RACHEL AI in English
Completed
🎉 Try RACHEL AI in English Now! 🚀
🎉 Try RACHEL AI in English Now! 🚀
🚀 Milestone 2: RACHEL AI in Spanish
Unlocks at
🚀 Milestone 3: RACHEL AI for alternate configurations
Unlocks at
RACHEL Deployments (Checking In) From Around the World
Real schools, real impact — featuring community-uploaded photos from active RACHEL devices
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● RACHEL Live Updates
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Global RACHEL Impact Data
Cash Value Saved
GB Transferred
User Sessions
Per-RACHEL Impact Data over Time
at 10 cents per MB, calculated using … years of usage data
Year 1
Year 2
Year 3
RACHEL AI (RACHEL 6) Overview
Chapters
- 0:00 Introduction to RACHEL 6 / RACHEL AI
- 0:37 Powering On the Device
- 1:15 New Hardware: 8GB RAM & Ubuntu 24
- 1:51 Connecting to the RACHEL Wi-Fi Signal
- 2:51 Accessing the RACHEL Homepage
- 3:24 AI-Powered Natural Language Search
- 4:36 Local Content Creation & Discovery
- 6:01 Content Management Portal
- 6:33 Building a Custom Module
- 7:33 Syncing Modules from the Repository
- 8:14 Turn It In & Assignment Submission
- 8:43 Kolibri & Educational Channels
- 9:07 Content Library: Wikipedia, Moodle & More
- 9:32 Ask-a-Question Discovery Tool
- 10:05 DataPost: Online Profile & Live Map
- 10:59 DataPost Analytics & Device Tracking
- 12:30 Fundraising for Spanish & Other Variants
- 12:44 Battery Life & Offline Content Model
- 13:32 Expanding Wi-Fi with Portable Routers
- 14:14 Closing Thoughts