Amruth hits 0.92 RAGAS faithfulness on Kannada literature using hybrid retrieval

Tactic · Dev.to · stat: 0.92 RAG

Developer Amruth bypasses standard vector search limitations on agglutinative Kannada literature by implementing a hybrid BM25 and dense retrieval pipeline. The system uses Reciprocal Rank Fusion and a deterministic regex router to eliminate hallucinations. The architecture achieves 0.89 context recall on a 50-query golden set.

Agglutinative languages expose the limits of standard multilingual vector embeddings Developers building localized RAG apps cannot rely on semantic search alone for highly inflected, low-resource languages.

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