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Sep 15, 2025
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feat: adding EmbeddingGemma300M model #184

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e3050aa
feat: adding EmbeddingGemma300M model
zojeda Sep 14, 2025
1ed7444
chore: Misc. updates
Anush008 Sep 15, 2025
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5 changes: 5 additions & 0 deletions src/models/image_embedding.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -26,6 +26,7 @@ pub fn models_list() -> Vec<ModelInfo<ImageEmbeddingModel>> {
model_code: String::from("Qdrant/clip-ViT-B-32-vision"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: ImageEmbeddingModel::Resnet50,
Expand All @@ -34,6 +35,7 @@ pub fn models_list() -> Vec<ModelInfo<ImageEmbeddingModel>> {
model_code: String::from("Qdrant/resnet50-onnx"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: ImageEmbeddingModel::UnicomVitB16,
Expand All @@ -42,6 +44,7 @@ pub fn models_list() -> Vec<ModelInfo<ImageEmbeddingModel>> {
model_code: String::from("Qdrant/Unicom-ViT-B-16"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: ImageEmbeddingModel::UnicomVitB32,
Expand All @@ -50,6 +53,7 @@ pub fn models_list() -> Vec<ModelInfo<ImageEmbeddingModel>> {
model_code: String::from("Qdrant/Unicom-ViT-B-32"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: ImageEmbeddingModel::NomicEmbedVisionV15,
Expand All @@ -58,6 +62,7 @@ pub fn models_list() -> Vec<ModelInfo<ImageEmbeddingModel>> {
model_code: String::from("nomic-ai/nomic-embed-vision-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
];

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5 changes: 4 additions & 1 deletion src/models/model_info.rs
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Original file line number Diff line number Diff line change
@@ -1,18 +1,21 @@
use crate::RerankerModel;
use crate::{OutputKey, RerankerModel};

/// Data struct about the available models
#[derive(Debug, Clone)]
#[non_exhaustive]
pub struct ModelInfo<T> {
pub model: T,
pub dim: usize,
pub description: String,
pub model_code: String,
pub model_file: String,
pub additional_files: Vec<String>,
pub output_key: Option<OutputKey>,
}

/// Data struct about the available reranker models
#[derive(Debug, Clone)]
#[non_exhaustive]
pub struct RerankerModelInfo {
pub model: RerankerModel,
pub description: String,
Expand Down
1 change: 1 addition & 0 deletions src/models/sparse.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ pub fn models_list() -> Vec<ModelInfo<SparseModel>> {
model_code: String::from("Qdrant/Splade_PP_en_v1"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
}]
}

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41 changes: 41 additions & 0 deletions src/models/text_embedding.rs
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Original file line number Diff line number Diff line change
Expand Up @@ -68,6 +68,8 @@ pub enum EmbeddingModel {
ClipVitB32,
/// jinaai/jina-embeddings-v2-base-code
JinaEmbeddingsV2BaseCode,
/// onnx-community/embeddinggemma-300m-ONNX
EmbeddingGemma300M,
}

/// Centralized function to initialize the models map.
Expand All @@ -80,6 +82,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/all-MiniLM-L6-v2-onnx"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::AllMiniLML6V2Q,
Expand All @@ -88,6 +91,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/all-MiniLM-L6-v2"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::AllMiniLML12V2,
Expand All @@ -96,6 +100,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/all-MiniLM-L12-v2"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::AllMiniLML12V2Q,
Expand All @@ -104,6 +109,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/all-MiniLM-L12-v2"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGEBaseENV15,
Expand All @@ -112,6 +118,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/bge-base-en-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGEBaseENV15Q,
Expand All @@ -120,6 +127,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/bge-base-en-v1.5-onnx-Q"),
model_file: String::from("model_optimized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGELargeENV15,
Expand All @@ -128,6 +136,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/bge-large-en-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGELargeENV15Q,
Expand All @@ -136,6 +145,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/bge-large-en-v1.5-onnx-Q"),
model_file: String::from("model_optimized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGESmallENV15,
Expand All @@ -144,6 +154,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/bge-small-en-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGESmallENV15Q,
Expand All @@ -154,6 +165,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/bge-small-en-v1.5-onnx-Q"),
model_file: String::from("model_optimized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::NomicEmbedTextV1,
Expand All @@ -162,6 +174,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("nomic-ai/nomic-embed-text-v1"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::NomicEmbedTextV15,
Expand All @@ -170,6 +183,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("nomic-ai/nomic-embed-text-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::NomicEmbedTextV15Q,
Expand All @@ -180,6 +194,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("nomic-ai/nomic-embed-text-v1.5"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::ParaphraseMLMiniLML12V2Q,
Expand All @@ -188,6 +203,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/paraphrase-multilingual-MiniLM-L12-v2-onnx-Q"),
model_file: String::from("model_optimized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::ParaphraseMLMiniLML12V2,
Expand All @@ -196,6 +212,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/paraphrase-multilingual-MiniLM-L12-v2"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::ParaphraseMLMpnetBaseV2,
Expand All @@ -206,6 +223,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/paraphrase-multilingual-mpnet-base-v2"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGESmallZHV15,
Expand All @@ -214,6 +232,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/bge-small-zh-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::BGELargeZHV15,
Expand All @@ -222,6 +241,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Xenova/bge-large-zh-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::ModernBertEmbedLarge,
Expand All @@ -230,6 +250,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("lightonai/modernbert-embed-large"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::MultilingualE5Small,
Expand All @@ -238,6 +259,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("intfloat/multilingual-e5-small"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::MultilingualE5Base,
Expand All @@ -246,6 +268,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("intfloat/multilingual-e5-base"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::MultilingualE5Large,
Expand All @@ -254,6 +277,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/multilingual-e5-large-onnx"),
model_file: String::from("model.onnx"),
additional_files: vec!["model.onnx_data".to_string()],
output_key: None,
},
ModelInfo {
model: EmbeddingModel::MxbaiEmbedLargeV1,
Expand All @@ -262,6 +286,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("mixedbread-ai/mxbai-embed-large-v1"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::MxbaiEmbedLargeV1Q,
Expand All @@ -270,6 +295,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("mixedbread-ai/mxbai-embed-large-v1"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::GTEBaseENV15,
Expand All @@ -278,6 +304,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Alibaba-NLP/gte-base-en-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::GTEBaseENV15Q,
Expand All @@ -286,6 +313,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Alibaba-NLP/gte-base-en-v1.5"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::GTELargeENV15,
Expand All @@ -294,6 +322,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Alibaba-NLP/gte-large-en-v1.5"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::GTELargeENV15Q,
Expand All @@ -302,6 +331,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Alibaba-NLP/gte-large-en-v1.5"),
model_file: String::from("onnx/model_quantized.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::ClipVitB32,
Expand All @@ -310,6 +340,7 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("Qdrant/clip-ViT-B-32-text"),
model_file: String::from("model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::JinaEmbeddingsV2BaseCode,
Expand All @@ -318,6 +349,16 @@ fn init_models_map() -> HashMap<EmbeddingModel, ModelInfo<EmbeddingModel>> {
model_code: String::from("jinaai/jina-embeddings-v2-base-code"),
model_file: String::from("onnx/model.onnx"),
additional_files: Vec::new(),
output_key: None,
},
ModelInfo {
model: EmbeddingModel::EmbeddingGemma300M,
dim: 768,
description: String::from("EmbeddingGemma is a 300M parameter from Google"),
model_code: String::from("onnx-community/embeddinggemma-300m-ONNX"),
model_file: String::from("onnx/model.onnx"),
additional_files: vec!["onnx/model.onnx_data".to_string()],
output_key: Some(crate::OutputKey::ByName("sentence_embedding")),
},
];

Expand Down
8 changes: 7 additions & 1 deletion src/output/output_precedence.rs
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Expand Up @@ -7,7 +7,7 @@
//! e.g. reading the output keys from the model file.

/// Enum for defining the key of the output.
#[derive(Debug, Clone)]
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum OutputKey {
OnlyOne,
ByOrder(usize),
Expand Down Expand Up @@ -41,3 +41,9 @@ impl OutputPrecedence for &[OutputKey] {
self.iter()
}
}

impl OutputPrecedence for &OutputKey {
fn key_precedence(&self) -> impl Iterator<Item = &OutputKey> {
std::iter::once(*self)
}
}
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