Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research.

31 окт. 2023 г. · Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research.

10 апр. 2020 г. · Our dense retriever outperforms a strong Lucene-BM25 system largely by 9%-19% absolute in terms of top-20 passage retrieval accuracy.

19 сент. 2022 г. · A dense passage retriever (DPR) is responsible for fetching relevant passages w.r.t to the question asked based on the similarity between the ...

20 дек. 2023 г. · The goal of the dense passage retriever (DPR) is to index all the passages in a low-dimensional and continuous space, such that it can retrieve efficiently the ...

21 мая 2024 г. · In this technique two separate models are used for embedding the query and embedding the chunk. You can then finetune both models together.

7 июн. 2024 г. · This tutorial will guide you through the steps required to create a retriever that is specifically tailored to your domain.

Dense passage retrieval (DPR) is the first step in the retrieval augmented generation (RAG) paradigm for improving the performance of large language models (LLM) ...

Our dense retriever outperforms a strong Lucene-BM25 system greatly by 9%-19% absolute in terms of top-20 passage retrieval accuracy.

23 февр. 2024 г. · By efficiently encoding passages into dense vectors, DPR can quickly retrieve relevant passages for a given question, significantly improving QA ...