Conversational AI for spiritual guidance integrating ancient wisdom with modern LLMs.
Ancient wisdom sits locked in Sanskrit texts most people can't access. Modern LLMs hallucinate when asked about philosophy or spiritual practice. The gap between technology and timeless knowledge felt solvable.
I built Sadhaka AI as a RAG system grounded in actual texts—not synthetic summaries. The goal: make ancient teachings discoverable and contextual without diluting their meaning.
RAG pipeline grounded in source texts. No hallucinations on philosophical concepts. Context-aware responses that cite original sources.
Detailed technical schematics and documentation for Sadhaka AI are proprietary and available upon request for deep-dive discussions.
Technical constraints forced creative solutions. We optimized for LLM from day one, which meant rethinking architecture at every layer. Shipped incrementally, validated with real users, and scaled what worked.
RAG implementation with Ancient text corpus
AI products need to be grounded in real constraints. Hallucinations kill trust. Accuracy at scale beats feature bloat.
I'm drawn to hard problems at the intersection of emerging technology and human behaviour especially in spaces that are ripe for disruption powered through innovation.