Multilingual AI systems support content generation and retrieval across multiple languages. Articles cover Bhashini-powered Indic language RAG, multilingual embedding strategies, and the engineering patterns for building AI systems that serve linguistically diverse user populations.
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An Indian banking deployment needs to handle Hindi, Marathi, Tamil, Bengali, and English in the same retrieval pipeline. Bhashini (the government's language stack) plus cross-lingual embeddings make it tractable.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.