A Knowledge-Grounded Multi-Agent Architecture for Vedic Astrological Question Answering: Operationalizing Bṛhat Parāśara Horā Śāstra Across 1,000 Specialized Agents

Anand Vadakepat

doi:10.36948/ijfmr.2026.v08i04.85779

A Knowledge-Grounded Multi-Agent Architecture for Vedic Astrological Question Answering: Operationalizing Bṛhat Parāśara Horā Śāstra Across 1,000 Specialized Agents

Author(s)	Anand Vadakepat
Country	India
Abstract	Vedic astrology (Jyotiṣa) encodes one of the largest continuously practiced interpretive knowledge systems in human history, yet its analytical procedures remain largely undigitized in a form suitable for open-ended natural-language interaction. We present the knowledge architecture underlying RetroGrade, a conversational platform that maps free-text life questions to structured Parāśarī analysis. The system decomposes the space of user intents into a taxonomy of approximately 14,000 probable questions spanning the principal domains of human concern — career, marriage and relationships, wealth, health, education, progeny, property, litigation, travel, spirituality, personality and event timing — and services them through a federation of 1,000 specialized agents. Each agent is grounded in the rule corpus of Bṛhat Parāśara Horā Śāstra (BPHS) and allied classical texts, and is scoped to a coherent analytical procedure that invokes the appropriate computational primitives: the sixteen divisional charts (ṣoḍaśavarga), the twenty-seven nakṣatras, planetary states (avasthā), multiple daśā systems, and the six-fold strength model (ṣaḍbala), including the motional strength (ceṣṭā-bala) from which retrograde planets derive their prominence and from which the platform takes its name. A two-stage semantic router maps each question to its agent(s) through dense-embedding retrieval over the taxonomy, and a grounded generation layer composes answers strictly from computed chart facts and retrieved rules under explicit guardrails. We describe the taxonomy, the agent-specification schema, the routing pipeline and the computational engine; we propose an evaluation protocol for routing accuracy and rule-faithfulness; and we position the contribution explicitly as an exercise in knowledge engineering and computational modeling of a classical tradition, rather than as a claim about the empirical predictive validity of astrology.
Keywords	Vedic astrology; Jyotiṣa; knowledge representation; multi-agent systems; semantic routing; retrieval-augmented generation; conversational AI; Bṛhat Parāśara Horā Śāstra; divisional charts; computational humanities.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-08-14
DOI	https://doi.org/10.36948/ijfmr.2026.v08i04.85779

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A Knowledge-Grounded Multi-Agent Architecture for Vedic Astrological Question Answering: Operationalizing Bṛhat Parāśara Horā Śāstra Across 1,000 Specialized Agents

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