Bhashini is India's national language technology platform providing translation and NLP services for Indic languages. Posts cover Bhashini integration for multilingual RAG, cross-lingual retrieval patterns, and how Bhashini enables AI systems to serve India's linguistic diversity.
2 posts tagged with bhashini. ← All posts
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.
A rider asks the bike a question in Marathi, Hindi, or English. The voice stack has to do ASR, intent classification, dispatch to a service tool, generate a response, TTS — all under 3 seconds. Notes from the proof-of-concept.
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.