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SDK - Added boosting for vector search#1371

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Merged
SilasMarvin merged 1 commit intomasterfromsilas-add-boosting-for-vector-search
Mar 14, 2024
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8 changes: 5 additions & 3 deletionspgml-sdks/pgml/src/lib.rs
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Original file line numberDiff line numberDiff line change
Expand Up@@ -1052,7 +1052,7 @@ mod tests {
#[tokio::test]
async fn can_vector_search_with_local_embeddings() -> anyhow::Result<()> {
internal_init_logger(None, None).ok();
let collection_name = "testr_c_cvswle_9";
let collection_name = "testr_c_cvswle_13";
let mut collection = Collection::new(collection_name, None)?;
let documents = generate_dummy_documents(10);
collection.upsert_documents(documents.clone(), None).await?;
Expand DownExpand Up@@ -1095,10 +1095,12 @@ mod tests {
"parameters": {
"instruction": "Represent the Wikipedia document for retrieval"
},
"full_text_filter": "test"
"full_text_filter": "test",
"boost": 1.2
},
"body": {
"query": "Test document: 2"
"query": "Test document: 2",
"boost": 1.0
},
},
"filter": {
Expand Down
7 changes: 5 additions & 2 deletionspgml-sdks/pgml/src/vector_search_query_builder.rs
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Original file line numberDiff line numberDiff line change
Expand Up@@ -25,6 +25,7 @@ struct ValidField {
query: String,
parameters: Option<Json>,
full_text_filter: Option<String>,
boost: Option<f32>,
}

#[derive(Debug, Deserialize)]
Expand DownExpand Up@@ -98,6 +99,8 @@ pub async fn build_vector_search_query(

let mut query = Query::select();

let boost = vf.boost.unwrap_or(1.);

match model_runtime {
ModelRuntime::Python => {
// Build the embedding CTE
Expand All@@ -118,7 +121,7 @@ pub async fn build_vector_search_query(

query
.expr(Expr::cust(format!(
r#"1 - (embeddings.embedding <=> (SELECT embedding FROM "{key}_embedding")::vector) AS score"#
r#"(1 - (embeddings.embedding <=> (SELECT embedding FROM "{key}_embedding")::vector)) * {boost} AS score"#
)))
.order_by_expr(Expr::cust(format!(
r#"embeddings.embedding <=> (SELECT embedding FROM "{key}_embedding")::vector"#
Expand DownExpand Up@@ -152,7 +155,7 @@ pub async fn build_vector_search_query(
// Build the score CTE
query
.expr(Expr::cust_with_values(
r#"1 - (embeddings.embedding <=> $1::vector) AS score"#,
r#"(1 - (embeddings.embedding <=> $1::vector)) {boost} AS score"#,
[embedding.clone()],
))
.order_by_expr(
Expand Down
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