all-mpnet-base-v2 is an open-weight transformer model that generates sentence and paragraph embeddings for semantic similarity, search, and clustering. Developers can run it with the Sentence Transformers library or access it through hosted inference.
In the Embeddings & retrieval space, All Mpnet Base takes a focused approach. It focuses on generating high-quality text embeddings for semantic search, similarity comparison, and clustering. It is built as an open-source project for machine learning developers and NLP researchers. All Mpnet Base is open source under the Apache-2.0 license. All Mpnet Base is available on the command line and API, and it can be self-hosted.
Behind All Mpnet Base is sentence-transformers, and it first shipped in 2023. Development happens publicly on GitHub with 5k stars and 8 commits in the last 90 days. Among its 6 catalogued features are sentence embeddings, semantic similarity, and text encoding. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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