Author

T.H. Madushanka

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Preprint Aug 2026

A Comprehensive Empirical Evaluation of Vector Database Systems for Approximate Nearest Neighbor Search: Performance, Quality, and Resource Trade-offs

Vector databases have emerged as critical infrastructure for modern artificial intelligence applications, particularly retrieval-augmented generation (RAG), semantic search, and recommendation systems. Despite their growing importance, there remains a significant gap in comprehensive, reproducible benchmarks that joint...

Ashen Rashmiks, T.H. Madushanka · 0 citations

Preprint Aug 2026

Query Translation vs. Cross-Lingual Embeddings for Sinhala-Tamil E-Government Information Retrieval

It is demonstrated that multilingual embedding models provide a more effective and scalable solution for cross-lingual retrieval-augmented generation (RAG) in low-resource government domains.

Dharshi Balasubramaniyam, T.H. Madushanka · 0 citations