---
title: "all-MiniLM-L12-v2 for semantic search and sentence similarity is now available in Amazon SageMaker JumpStart"
url: https://daily.dev/posts/all-minilm-l12-v2-for-semantic-search-and-sentence-similarity-is-now-available-in-amazon-sagemaker-j-2lyojmhgk
source_url: https://aws.amazon.com/about-aws/whats-new/2026/06/all-minilm-l12-v2-on-sagemaker-jumpstart
type: article
source: "AWS"
published: 2026-06-18T20:07:14.826Z
updated: 2026-06-18T20:07:31.621Z
tags: ["aws", "vector-search"]
reading_time: 1
upvotes: 0
comments: 0
language: en
---

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# all-MiniLM-L12-v2 for semantic search and sentence similarity is now available in Amazon SageMaker JumpStart

**[AWS](https://daily.dev/sources/aws)** · 1 min read · 0 upvotes · 0 comments

## Summary

AWS has made the all-MiniLM-L12-v2 sentence embedding model available in Amazon SageMaker JumpStart. The model from Sentence Transformers encodes sentences and paragraphs into 384-dimensional dense vectors, enabling semantic search, text clustering, duplicate detection, and sentence similarity tasks. Its compact architecture supports fast inference at scale, and deployment is available via SageMaker Studio or the SageMaker Python SDK.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/about-aws/whats-new/2026/06/all-minilm-l12-v2-on-sagemaker-jumpstart>

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---

Tags: [#aws](https://daily.dev/tags/aws), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/all-minilm-l12-v2-for-semantic-search-and-sentence-similarity-is-now-available-in-amazon-sagemaker-j-2lyojmhgk)
