Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
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Updated
Dec 27, 2022 - Python
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
Query Expension for Better Query Embedding using LLMs
SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.
Evaluation of BEIR Datasets using ColBERT retrieval model
A genral RAG Search chatbot, with SoTA RAG techniques such as HyDE, Hybrid retrieval with BM25 + RRF and Cross encoder reranking. Evaluated on the BEIR scifact dataset and compared all the different pipelines i tried along the way
Scripts to convert the LegalBench-RAG dataset into the standard IR format
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