Toolkit for domain-specific information retrieval experimentation
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May 18, 2026 - Python
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pyserini
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A state-of-the-art Information Retrieval system for TREC ROBUST04 achieving MAP 0.3309. Features a Novel 4-Way RRF Fusion architecture combining BM25, Neural Reranking (Cross-Encoders), and LLM-Augmented Query Expansion (Query2Doc) via LiteLLM.
information-retrieval bm25 query-expansion neural-search cross-encoders pyserini litellm reciprocal-rank-fusion rag-pipeline robust04
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Jan 27, 2026 - Python
Straightforward SERPs for Lucene indexes
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Sep 21, 2023 - Python
Summarizing my findings on Query Expansion using Generative AI by evaluating and comparing the results of different query expansion methods.
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Aug 17, 2024 - Python
Learning-to-Rank on MS MARCO Passages: candidate generation from prebuilt indexes and re-ranking for QA search
retrieval ltr question-answering learning-to-rank recommender-systems bm25 msmarco neural-ranking pyserini splade catboostranker
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Sep 12, 2025 - Python
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