MongoDB's mdbr-leaf-ir is a sentence-transformers compatible model optimized for information retrieval tasks. It produces dense vector embeddings that can be used for semantic search, similarity computation, and retrieval-augmented generation. The model supports both sentence-transformers and standard Transformers libraries and is published under an Apache 2.0 license.
Mdbr Leaf Ir sits in PulseGate's Foundation models & chat category. It focuses on generating high-quality text embeddings for retrieval and semantic search applications. It is built as an open-source project for developers. The project is open source (Open Source). Mdbr Leaf Ir is available on the web, the command line, and API.
Behind Mdbr Leaf Ir is MongoDB, and it first shipped in 2025. Among its 4 catalogued features are sentence embeddings, semantic similarity, and information retrieval.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match