Sentence Transformer - Agno

Sentence Transformer Embedder embeds documents using Hugging Face’s sentence-transformers library, providing access to a wide range of open-source embedding models that can run locally.

Parameters

Parameter	Type	Default	Description
`id`	`str`	`sentence-transformers/all-MiniLM-L6-v2`	The name of the SentenceTransformers model to use
`dimensions`	`int`	`384`	The dimensionality of the generated embeddings
`sentence_transformer_client`	`Optional[SentenceTransformer]`	`None`	Optional pre-configured SentenceTransformers client instance
`prompt`	`Optional[str]`	`None`	Optional prompt to prepend to input text
`normalize_embeddings`	`bool`	`False`	Whether to normalize returned vectors to have length 1
`enable_batch`	`bool`	`False`	Has no effect. This embedder embeds one text per call
`batch_size`	`int`	`100`	Number of texts per batch. Unused by this embedder

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