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RAG assistant built for scanned Hindi/English university circulars

By PulseAugur Editorial · [1 sources] ·

A developer detailed the process of building a Retrieval-Augmented Generation (RAG) assistant for scanned university circulars in Hindi and English. Key challenges included optimizing OCR quality by detecting script per page and rebuilding tables, storing passage locations for precise citation, and enhancing retrieval by merging vector search with keyword matching. The system also incorporates a dual-model approach for answer verification and includes essential product features like approval workflows and access controls. AI

IMPACT Demonstrates practical application of RAG for document analysis in multilingual, scanned environments.

RANK_REASON The item describes the development of a specific application using AI techniques, rather than a core AI release or research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RAG assistant built for scanned Hindi/English university circulars

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The item describes the development of a specific application using AI techniques, rather than a core AI release or research.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Abhishek Chauhan ·

    What I learned building a RAG assistant for scanned Hindi and English university circulars

    <p>Most RAG demos begin with PDFs in English.. The <a href="https://abhishekdev.online/projects/13" rel="noopener noreferrer">SVSU Knowledge Assistant</a> started with a messy stack of paper circulars in Hindi and English. These were photocopied scanned at an angle full of ruled …

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