A fine-tuned version of the all-MiniLM-L6-v2 model trained for general in-domain sentence embeddings. It produces 384-dimensional vectors suitable for semantic similarity, clustering, and retrieval-augmented generation. The model is available on Hugging Face and integrates with the sentence-transformers library.
GIST All MiniLM L6 sits in PulseGate's Embeddings & retrieval category. It focuses on converting sentences and paragraphs into dense vector representations for semantic search and retrieval. GIST All MiniLM L6 is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web and API.
Behind GIST All MiniLM L6 is avsolatorio.
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