SearchBetter: query rewriting for search engines on small corpuses (Harvard research project)

[VLSP 2025] 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.

Advanced RAG pipeline optimization framework using DSPy. Implements modular RAG pipelines with Query-Rewriting, Sub-Query Decomposition, and Hybrid Search via Weaviate. Automates prompt tuning and few-shot selection using MIPRO, COPRO, and BootstrapFewShot optimizers on datasets like FreshQA, HotpotQA, TriviaQA, Wikipedia and PubMedQA.

唐诗三百首RAG检索增强生成

An open-source PoC of a 3-stage pipeline for medical semantic search, evaluated on the TREC-CDS 2016 dataset.

MCTS for query rewrite

ISWC'21 Post & Demo, A DBpedia-based Benchmark for Ontology-mediated Query Answering

Autonomous RAG system with self-correcting retrieval, hallucination detection, and LangGraph orchestration. Features multi-iteration query rewriting, streaming responses, and comprehensive evaluation metrics.

Text Query Rewrite

Combining Query Rewriting (PerfectRef) and Knowledge Graph Embeddings with Complex Query Answering