mempal_runtime/embed/
mod.rs

1#![warn(clippy::all)]
2
3use async_trait::async_trait;
4
5use crate::core::config::Config;
6
7#[cfg(feature = "model2vec")]
8pub use mempal_embed::model2vec;
9#[cfg(feature = "onnx")]
10pub use mempal_embed::onnx;
11pub use mempal_embed::{EmbedError, Embedder, EmbedderFactory, Result, api};
12
13/// Default embedding dimensions used by the API backend when config omits one.
14pub const DEFAULT_API_DIMENSIONS: usize = 384;
15
16#[derive(Clone)]
17pub struct ConfiguredEmbedderFactory {
18    config: Config,
19}
20
21impl ConfiguredEmbedderFactory {
22    pub fn new(config: Config) -> Self {
23        Self { config }
24    }
25}
26
27#[async_trait]
28impl EmbedderFactory for ConfiguredEmbedderFactory {
29    async fn build(&self) -> Result<Box<dyn Embedder>> {
30        match self.config.embed.backend.as_str() {
31            #[cfg(feature = "model2vec")]
32            "model2vec" => {
33                let model_id = self
34                    .config
35                    .embed
36                    .model
37                    .as_deref()
38                    .unwrap_or("minishlab/potion-multilingual-128M");
39                Ok(Box::new(model2vec::Model2VecEmbedder::new(model_id)?))
40            }
41            #[cfg(not(feature = "model2vec"))]
42            "model2vec" => Err(EmbedError::UnsupportedBackend("model2vec".to_string())),
43            #[cfg(feature = "onnx")]
44            "onnx" => Ok(Box::new(onnx::OnnxEmbedder::new_or_download().await?)),
45            #[cfg(not(feature = "onnx"))]
46            "onnx" => Err(EmbedError::UnsupportedBackend("onnx".to_string())),
47            "api" => Ok(Box::new(api::ApiEmbedder::new(
48                self.config
49                    .embed
50                    .api_endpoint
51                    .clone()
52                    .unwrap_or_else(|| "http://localhost:11434/api/embeddings".to_string()),
53                self.config.embed.api_model.clone(),
54                self.config
55                    .embed
56                    .dimensions
57                    .unwrap_or(DEFAULT_API_DIMENSIONS),
58            ))),
59            other => Err(EmbedError::UnsupportedBackend(other.to_string())),
60        }
61    }
62}
mempal_runtime/embed/mod.rs

mempal_runtime/embed/
mod.rs
