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RetrievalML InfrastructureNLP

Custom Retrieval Pipeline with Reranker

End-to-end local retrieval pipeline with BM25, FAISS dense search, hybrid ranking, a custom scikit-learn feature reranker, evaluation metrics, CLI tooling, and Streamlit demo.

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Jun 24, 2026

Case study

A practical information retrieval project demonstrating hybrid search, reranking, evaluation, and local-first retrieval architecture.

Problem solved

Improves document retrieval quality by combining sparse search, dense search, and learned reranking.

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