--- title: Why, When and How to Fine-Tune a Custom Embedding Model description: Fine-tuning embedding models can significantly improve retrieval performance in RAG systems when off-the-shelf models fail to capture domain-specific semantic... canonical: https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Why, When and How to Fine-Tune a Custom Embedding Model | daily.dev og:description: Fine-tuning embedding models can significantly improve retrieval performance in RAG systems when off-the-shelf models fail to capture domain-specific semantic... og:url: https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0 og:image: https://api.daily.dev/og/posts/L34UGQcu0.png og:image:alt: Why, When and How to Fine-Tune a Custom Embedding Model og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Why, When and How to Fine-Tune a Custom Embedding Model **[Weaviate](https://daily.dev/sources/weaviate)** · 12 min read · 0 upvotes · 0 comments ## Summary Fine-tuning embedding models can significantly improve retrieval performance in RAG systems when off-the-shelf models fail to capture domain-specific semantic relationships. The process involves selecting an appropriate base model, curating high-quality training datasets (1,000-10,000+ samples depending on complexity), and using contrastive learning methods like Multiple Negatives Ranking Loss. Key considerations include evaluating whether fine-tuning is necessary versus other solutions like hybrid search or better chunking, understanding computational requirements, and establishing proper evaluation pipelines with metrics like MRR and NDCG. The article provides practical guidance on implementing custom embedding models with Weaviate through Hugging Face or AWS SageMaker integrations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#embeddings](https://daily.dev/tags/embeddings), [#weaviate](https://daily.dev/tags/weaviate) [View this post on daily.dev](https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Why, When and How to Fine-Tune a Custom Embedding Model","url":"https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0"},"datePublished":"2025-08-05T15:17:00.102Z","dateModified":"2025-08-05T15:17:22.631Z","description":"Fine-tuning embedding models can significantly improve retrieval performance in RAG systems when off-the-shelf models fail to capture domain-specific semantic...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d7afc41737e66a5d095ef4ce7803298f?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d7afc41737e66a5d095ef4ce7803298f?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"Weaviate","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Weaviate","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/07d0692410934a578c4d59e02f7ea685","url":"https://daily.dev/sources/weaviate"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/why-when-and-how-to-fine-tune-a-custom-embedding-model-l34ugqcu0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"deep-learning,rag,vector-search,embeddings,weaviate","timeRequired":"PT12M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Weaviate","item":"https://daily.dev/sources/weaviate"},{"@type":"ListItem","position":3,"name":"Why, When and How to Fine-Tune a Custom Embedding Model"}]} ```