A Project of Sanatana Guru Sampradaya Pratishthanam · Mysore

The complete Vedic textual universe, encoded as living intelligence.

SarvaVeda is a sovereign foundation LLM and research platform built on the 72-volume Veda Vijñāna Viṣṭaram Series, the complete Kalpa Sūtra literature, all eighteen Mahāpurāṇas, and the full Ṣaḍaṅga corpus — self-hosted, scholar-validated, and answerable to the tradition itself.

अनन्ता वै वेदाःThe Vedas are indeed infinite — Taittirīya tradition
SarvaVeda LLM — a flourishing tree whose four branches carry the Ṛgveda, Yajurveda, Sāmaveda and Atharvaveda, rooted in Om
72
VVV Volumes · Gold Corpus
2,000
Swadharma Topics
1M+
Pages of Śāstra Text
1,000
Hours of Lecture Video
The Knowledge Base

Four strata of the corpus

Every text enters the model through a graded trust system. The higher the stratum, the greater its weight in training — and every sentence remains traceable to the printed page it came from.

Gold

Editorially verified

The 72 volumes of the Veda Vijñāna Viṣṭaram Series — 15,000 pages of curated exposition spanning Veda, Vedāṅga, Itihāsa, Purāṇa, Āgama, Jyotiṣa, Sacred Geography, and the musical traditions of Bhārata. The supervised training spine of the model.

Silver

Curated & structured

The 2,000-topic Swadharma Master List; the SGSP Kalpa Sūtra Unicode collection — eleven Śrauta Sūtras, the Gṛhya register, commentated Dharma and Śulba texts — and curated assessment banks from SVAMI.

Bronze

Canonical, uncurated

Hundreds of scanned editions passing through the seven-stage industrial OCR pipeline: critical editions, traditional bhāṣyas of Sāyaṇa and the commentators, all eighteen Mahāpurāṇas, the Stotra literature, and the complete Kalpa Sūtra library in four classes.

Reference

Contextual

1,000 hours of transcribed lectures by traditional scholars, aligned with the text corpus — carrying the oral tradition's explanatory voice into the model.

The Model Suite

Nine specialised engines, one foundation

A 70-billion-parameter foundation model, fine-tuned on the corpus and extended by nine śāstra-specific engines — each one auditable, each one citing its sources.

Śrauta Prayoga Generation

Complete rite sequences — ṛtvij assignments, mantra placement with svara, havirdravya, kāla-nirnaya — every step carrying a traceable sūtra citation.

Sāmaveda Stotra Generation

Stotriyā assembly, viṣṭuti patterns and stobha insertion for any Soma rite, in traditional numeric-svara and sargam notation.

Vikṛti Pāṭha Generation

All eight Vikṛti forms — Jaṭā to Ghana — for any Saṃhitā segment, with rule-verified sandhi and svara transformation at every junctura.

Tarka Sentence Structure

Pañcāvayava syllogisms, pūrvapakṣa–siddhānta frames, and Navya-Nyāya technical analysis of any śāstric argument.

Varṇa Krama Generation

Akṣara-by-akṣara decomposition with svara and mātrā, built directly on Śikṣā and Prātiśākhya rules — pāṭhaśālā-grade output.

Sāma Sound Analysis

Audio in, notation out: pitch and svara extraction from recorded Sāmagāna, automatic notation, and the Ūha engine that re-frames melody onto new chandas.

Vyākaraṇa Vocabulary Engine

The full Pāṇinian word-space — over 100 million forms, each with its complete sūtra-by-sūtra derivation — compiled into an instant-lookup lexicon.

Nirukta Etymology

Traditional nirvacana for any word, with competing etymologies cited, alongside the formal Pāṇinian vyutpatti — two tracks, one panel.

Chatur-Darśana Engine

The same sentence interpreted in parallel through Tarka, Vyākaraṇa, Mīmāṃsā and Vedānta — the śāstrārtha assembly, computed.

The Signature Capability

One sentence. Four śāstras.

In the traditional assembly, a naiyāyika, a vaiyākaraṇa, a mīmāṃsaka and a vedāntin each examine the same vākya with different instruments. SarvaVeda computes all four readings in parallel. Select a lens:

स्वर्गकामो यजेत
svargakāmo yajeta — "One desiring heaven should sacrifice"

The Nyāya reading

The sentence encodes a means–end inference: yāga is established as the sādhana for the sādhya, svarga. Reconstructed as a formal pañcāvayava: pratijñā — the desirer of heaven should perform yāga; hetu — because yāga is the instrument of heaven; udāharaṇa — whatever is an instrument to a desired end is to be undertaken by one who desires that end.

The analysis then tests the hetu for hetvābhāsa and states the cognition in Navya-Nyāya terms: svarga-niṣṭha-sādhyatā-nirūpita-sādhanatā resides in yāga.

Illustrative output — the production engine cites its sources for every claim.

Digitisation at Scale

The seven-stage OCR pipeline

Hundreds of scanned books — critical editions, commentaries, Grantha and Telugu texts — become verified, svara-correct digital corpus at a rhythm of 15–25 books a month.

O1
Intake & triage
O2
Image cleanup
O3
Layout analysis
O4
Script-aware OCR
O5
Svara recovery
O6
Lexicon correction
O7
Scholar gate

Two details set this pipeline apart. Vedic accent marks — which ordinary OCR silently discards — are recovered graphically or transferred from verified sources. And every OCR'd word is checked against the Vyākaraṇa engine's 100-million-form lexicon: the most complete Sanskrit spell-checker ever constructed, born from the same Pāṇinian generator that powers the grammar display.

The Plan

Six phases, thirty-six months

Foundation & infrastructure

Phase 0 · Months 1–4

Two GPU servers commissioned at Mysore — 256 GB RAM each, A100/H100-class accelerators — with vector and graph databases deployed and the scholar review panel constituted.

Corpus assembly

Phase 1 · Months 3–12

The 72 volumes, the Kalpa Sūtra Unicode collection, the Purāṇa and Stotra corpora ingested; the industrial OCR programme launched; the Vyākaraṇa lexicon generated; the citation register of every text quoted in the Series compiled.

Foundation model fine-tuning

Phase 2 · Months 8–16

QLoRA fine-tuning of the 70B base model on the Gold and Silver corpora; retrieval-augmented generation live; scholar-graded evaluation and feedback training.

The nine-engine suite

Phase 3 · Months 14–26

Prayoga, Stotra, Vikṛti, Tarka, Varṇa Krama, Nirukta and the Chatur-Darśana engines trained; the Sāma sound-analysis model delivers automatic notation; the web application opens for internal scholarly use.

Institutional pilot

Phase 4 · Months 20–28

SVAMI faculty and invited scholars test against the 2,000-topic benchmark; Prayoga outputs validated against the 2026 Agniṣṭoma performance records; the Ūha engine faces its Sāmaveda examiners.

Public release

Phase 5 · Months 26–36

Tiered public access — general, scholar, institutional — with the diaspora network of paṭhaśālās and centres as first subscribers, and a continuous-learning cycle absorbing each new volume and lecture.

Read the full 27-page roadmap → See the Plan of Action →
Custodians

The institutional foundation

SGSP

Sanatana Guru Sampradaya Pratishthanam, Mysore — the umbrella trust and owner of the corpus, model weights, and platform.

Veda Vijñāna Viṣṭaram

The publishing and research body whose 72-volume Series forms the model's training spine. vedavishtaram.in

SVAMI

The academy whose faculty serve as the scholar review panel — validating corpus quality and grading every model output.

Dharma Poshanam Inc.

USA 501(c)(3) — the vehicle for tax-deductible international support and diaspora institutional partnerships.

Build the model that serves the tradition

सत्यं ज्ञानमनन्तं ब्रह्म

SarvaVeda is seeking founding supporters, a Technical Director (AI/ML), and institutional partners. US donations are tax-deductible through Dharma Poshanam Inc. (501(c)(3)). Scholars, engineers, and patrons who wish to be part of this work are invited to write to the Pratishthanam.

Write to the project