Using retrieval-augmented generation to elevate low-code developer skills

Using retrieval-augmented generation to elevate low-code developer skills

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Bibliographic Details
Date:2023
Main Author: O. Nakhod
Format: Article
Language:English
Published: 2023
Series:Artificial intelligence
Online Access:http://jnas.nbuv.gov.ua/article/UJRN-0001445552
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Journal Title:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
id open-sciencenbuvgovua-110279
record_format dspace
spelling open-sciencenbuvgovua-1102792024-09-16T15:17:47Z Using retrieval-augmented generation to elevate low-code developer skills O. Nakhod 2710-1673 2023 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0001445552 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Artificial intelligence
spellingShingle Artificial intelligence
O. Nakhod
Using retrieval-augmented generation to elevate low-code developer skills
format Article
author O. Nakhod
author_facet O. Nakhod
author_sort O. Nakhod
title Using retrieval-augmented generation to elevate low-code developer skills
title_short Using retrieval-augmented generation to elevate low-code developer skills
title_full Using retrieval-augmented generation to elevate low-code developer skills
title_fullStr Using retrieval-augmented generation to elevate low-code developer skills
title_full_unstemmed Using retrieval-augmented generation to elevate low-code developer skills
title_sort using retrieval-augmented generation to elevate low-code developer skills
publishDate 2023
url http://jnas.nbuv.gov.ua/article/UJRN-0001445552
work_keys_str_mv AT onakhod usingretrievalaugmentedgenerationtoelevatelowcodedeveloperskills
first_indexed 2025-07-22T18:16:03Z
last_indexed 2025-07-22T18:16:03Z
_version_ 1838372507106672640

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