SearchBetter: query rewriting for search engines on small corpuses (Harvard research project)
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Updated
Jul 15, 2017 - Jupyter Notebook
SearchBetter: query rewriting for search engines on small corpuses (Harvard research project)
ViDRILL is a Vietnamese document retrieval system for VLSP 2025. It combines dense and sparse retrieval, reranking, and optional LLM-based query rewriting and reasoning to support high-accuracy information retrieval and future LLM-enhanced pipelines.
Implementation query expansion in semantic meta-search engine. The resulting expansion system is called Wiki-MetaSemantik.
It shows an advanced RAG with Reflection where LangGraph is used for workflow management.
🚤 User and policy management component for KorAP, capable of rewriting queries for policy based document restrictions.
A public demo of a 3-stage clinical retrieval pipeline (LLM enhancement, dense retrieval, reranking) on the public TREC-CDS 2016 dataset.
ISWC'21 Post & Demo, A DBpedia-based Benchmark for Ontology-mediated Query Answering
MCTS for query rewrite
Combining Query Rewriting (PerfectRef) and Knowledge Graph Embeddings with Complex Query Answering
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