use embed_anything::config::TextEmbedConfig;
use embed_anything::embeddings::embed::{EmbedData, Embedder, TextEmbedder};
use embed_anything::file_processor::docx_processor::DocxProcessor;
use embed_anything::text_loader::SplittingStrategy;
use embed_anything::{embed_directory_stream, embed_file};
use std::collections::HashSet;
use std::sync::Arc;
use std::{path::PathBuf, time::Instant};
#[tokio::main]
async fn main() {
let model = Arc::new(Embedder::Text(
TextEmbedder::from_pretrained_hf("jina", "jinaai/jina-embeddings-v2-small-en", None)
.unwrap(),
));
let config = TextEmbedConfig::default()
.with_chunk_size(256, Some(0.3))
.with_batch_size(32)
.with_buffer_size(32)
.with_splitting_strategy(SplittingStrategy::Sentence)
.with_semantic_encoder(Arc::clone(&model));
DocxProcessor::extract_text(&PathBuf::from("test_files/test.docx")).unwrap();
let _out = embed_file(
"test_files/test.pdf",
&model,
Some(&config),
None::<fn(Vec<EmbedData>)>,
)
.await
.unwrap()
.unwrap();
let now = Instant::now();
let _out = embed_directory_stream(
PathBuf::from("test_files"),
&model,
None,
Some(&config),
None::<fn(Vec<EmbedData>)>,
)
.await
.unwrap()
.unwrap();
let embedded_files = _out.iter().map(|e| e.metadata.as_ref().unwrap().get("file_name").unwrap().clone()).collect::<Vec<_>>();
let mut embedded_files_set = HashSet::new();
embedded_files_set.extend(embedded_files);
println!("Embedded files: {:?}", embedded_files_set);
println!("Number of chunks: {:?}", _out.len());
let elapsed_time = now.elapsed();
println!("Elapsed Time: {}", elapsed_time.as_secs_f32());
}