Devotional Archive Intelligence
Two decades of Hindi discourse (40,000+ files) turned into a searchable, citable corpus running 100% on-premise.
40,000+ recorded discourse files (~12,800 hours) had no text index. Finding a specific quote required 377+ working days of manual listening, and cloud speech APIs were too costly and risked hallucinations.
An on-premise pipeline stripping audio hiss, applying WhisperX large-v3 with wav2vec2 word-level timestamps, and indexing with local Ollama + Qdrant/Tantivy on an NVIDIA RTX 5090 GPU.
Operating Architecture Sequence
Vocal Isolation
Harmonium, tabla, and hiss stripped from historic tape.
Per-Word Alignment
WhisperX pins exact timestamp to every spoken word.
Local Vector Index
Qdrant + Tantivy hybrid search on local workstation.
Citable Answers
Returns verbatim text with clickable audio playback.
“Two decades of discourse turned into a searchable, citable corpus running entirely inside our building without a single byte leaving the premises.”
— Swami Vishvas (Vishvas Foundation Leadership)
Capacity & Scope Reclaimed
3,015 hrs indexed
Direct workload reduction
Business Impact & Infrastructure
₹0 cloud API cost · Nothing ever leaves the building
Anything the model is not confident it heard is never written down; dates, camps, and counts bypass generative models entirely.
