V.E.D.A.

Vedic Education & Data Archive

Offline search over Srila Prabhupada's complete works + Bhakti Yoga course. Runs on Mac, Windows, and Linux. No internet needed for search.

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Quick Install — Mac / Linux (one command):

curl -sL https://raw.githubusercontent.com/juanmanuelferrera/veda/main/install-remote.sh | bash

Quick Install — Windows:

Download VEDA.zip, unzip, double-click veda.exe

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Features

• Vedabase Search — 58,437 passages from 29 books, conversations, lectures, and letters
• Bhakta Course — 10 units with lessons and 183 quiz questions, progress tracking
• Book filter — search within a specific book
• AI answers (optional) — connect your own Gemini, OpenAI, or Claude API key
• Cross-platform — Mac, Windows, Linux from the same USB or download

Use from USB

Mac

Double-click OPEN ON MAC.command

Windows

Double-click veda.exe

Linux

Open a terminal in the USB folder and run:

bash "OPEN ON LINUX.sh"

Install from USB

Copies V.E.D.A. to your local disk. After install, remove the USB.

Platform	Action
Mac	Double-click INSTALL ON MAC.command
Windows	Double-click INSTALL ON WINDOWS.bat
Linux	Run python3 install.py in terminal

After install: desktop shortcut, app menu entry, auto-starts on boot.

Bhakta Course

10 units covering the foundations of Bhakti Yoga:

1. El Maestro Espiritual y el Discípulo
2. Sadhana Bhakti, la Práctica
3. Conocimiento Védico
4. Predicación
5. Filosofía Védica
6. Devotos del Señor
7. Grandes Maestros Espirituales
8. Servicio Devocional
9. Las Creaciones Materiales y Espirituales
10. Cultura Védica

Each unit includes reading material and a multiple-choice quiz. Progress is saved locally.

AI Answers (optional)

Click Settings in the app to configure:

1. Choose provider: Gemini, OpenAI, or Claude
2. Enter your API key
3. Click AI Answer after searching

Keys stored locally in your browser only. Internet required for AI answers only.

Specs

• Download: ~45 MB compressed
• Installed: ~150 MB
• USB: any drive 256 MB or larger
• Internet: not needed for search or course, only for AI answers

Data source

Vedabase Original Edition (with diacritics) from https://vedabase.vedicvault.org/

Build the index from source

curl -L -o data/vedabase.md "https://pub-9ebe02965a9f4aeb9c5d3d9741790d2d.r2.dev/original_vedabase_2026.md"
node scripts/build-index.js

License

Apache 2.0