{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T12:30:09Z","timestamp":1743769809050},"reference-count":0,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T00:00:00Z","timestamp":1726790400000},"content-version":"unspecified","delay-in-days":81,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Nat. Lang. Eng."],"published-print":{"date-parts":[[2024,7]]},"abstract":"Abstract<\/jats:title>Retrieval-augmented generation (RAG) adds a simple but powerful feature to chatbots, the ability to upload files just-in-time. Chatbots are trained on large quantities of public data. The ability to upload files just-in-time makes it possible to reduce hallucinations by filling in gaps in the knowledge base that go beyond the public training data such as private data and recent events. For example, in a customer service scenario, with RAG, we can upload your private bill and then the bot can discuss questions about your bill as opposed to generic FAQ questions about bills in general. This tutorial will show how to upload files and generate responses to prompts; see https:\/\/github.com\/kwchurch\/RAG<\/jats:uri> for multiple solutions based on tools from OpenAI, LangChain, HuggingFace transformers and VecML.<\/jats:p>","DOI":"10.1017\/s1351324924000044","type":"journal-article","created":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T08:32:33Z","timestamp":1726821153000},"page":"870-881","update-policy":"http:\/\/dx.doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":1,"title":["Emerging trends: a gentle introduction to RAG"],"prefix":"10.1017","volume":"30","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8378-6069","authenticated-orcid":false,"given":"Kenneth Ward","family":"Church","sequence":"first","affiliation":[]},{"given":"Jiameng","family":"Sun","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0009-0009-4135-5629","authenticated-orcid":false,"given":"Richard","family":"Yue","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0479-7363","authenticated-orcid":false,"given":"Peter","family":"Vickers","sequence":"additional","affiliation":[]},{"given":"Walid","family":"Saba","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2755-0745","authenticated-orcid":false,"given":"Raman","family":"Chandrasekar","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2024,9,20]]},"container-title":["Natural Language Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1351324924000044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T08:32:42Z","timestamp":1726821162000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1351324924000044\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["S1351324924000044"],"URL":"https:\/\/doi.org\/10.1017\/s1351324924000044","relation":{},"ISSN":["1351-3249","1469-8110"],"issn-type":[{"value":"1351-3249","type":"print"},{"value":"1469-8110","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"\u00a9 The Author(s), 2024. Published by Cambridge University Press","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https:\/\/creativecommons.org\/licenses\/by\/4.0\/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}