--- title: How to Benchmark Embedding Models On Your Own Data description: Learn to benchmark embedding models on custom datasets through a comprehensive course covering Vision Language Models for text extraction, synthetic evaluation... canonical: https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Benchmark Embedding Models On Your Own Data | daily.dev og:description: Learn to benchmark embedding models on custom datasets through a comprehensive course covering Vision Language Models for text extraction, synthetic evaluation... og:url: https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn og:image: https://api.daily.dev/og/posts/fkL2StQfn.png og:image:alt: How to Benchmark Embedding Models On Your Own Data 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. # How to Benchmark Embedding Models On Your Own Data **[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 2 min read · 2 upvotes · 0 comments ## Summary Learn to benchmark embedding models on custom datasets through a comprehensive course covering Vision Language Models for text extraction, synthetic evaluation data generation with LLMs, vector representation creation, local model deployment with llama.cpp, and statistical analysis using the ranx library. The tutorial addresses limitations of generic benchmarks by teaching how to evaluate models on domain-specific data with proper metrics and statistical tests. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How to Choose the Right LLM for Your Projects: A Guide to Effective Model Benchmarking](https://daily.dev/posts/how-to-choose-the-right-llm-for-your-projects-a-guide-to-effective-model-benchmarking-howbzdoxy) · freeCodeCamp · 5 upvotes · 0 comments - [7 Advanced Feature Engineering Tricks for Text Data Using LLM Embeddings](https://daily.dev/posts/7-advanced-feature-engineering-tricks-for-text-data-using-llm-embeddings-ocyzcaq7e) · Machine Learning Mastery · 2 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#embeddings](https://daily.dev/tags/embeddings) [View this post on daily.dev](https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn) ```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":"How to Benchmark Embedding Models On Your Own Data","url":"https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn"},"datePublished":"2026-01-15T20:12:13.395Z","dateModified":"2026-01-15T20:12:30.944Z","description":"Learn to benchmark embedding models on custom datasets through a comprehensive course covering Vision Language Models for text extraction, synthetic evaluation...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/42285c391ecef7d3b27cf79f37424764?_a=AQAEulh","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/42285c391ecef7d3b27cf79f37424764?_a=AQAEulh","isAccessibleForFree":true,"articleSection":"freeCodeCamp","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":"freeCodeCamp","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp","url":"https://daily.dev/sources/freecodecamp"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/how-to-benchmark-embedding-models-on-your-own-data-fkl2stqfn","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,python,llm,embeddings","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"freeCodeCamp","item":"https://daily.dev/sources/freecodecamp"},{"@type":"ListItem","position":3,"name":"How to Benchmark Embedding Models On Your Own Data"}]} ```