GIST-small-Embedding-v0 is a compact embedding model designed for producing high-quality text representations. It is suitable for semantic search, clustering, and retrieval-augmented generation pipelines. The model is available for download and inference via the Hugging Face ecosystem.
GIST Small Embedding sits in PulseGate's Embeddings & retrieval category. It focuses on generating dense vector embeddings for text retrieval and semantic search tasks. It is built as an open-source project for machine learning developers. GIST Small Embedding is open source under the Open Source license. It ships for the web and API.
avsolatorio builds and maintains GIST Small Embedding.
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