diff --git a/pgml-sdks/pgml/Cargo.lock b/pgml-sdks/pgml/Cargo.lock
index 2f600f25b..784b528a7 100644
--- a/pgml-sdks/pgml/Cargo.lock
+++ b/pgml-sdks/pgml/Cargo.lock
@@ -1963,7 +1963,6 @@ dependencies = [
 [[package]]
 name = "rust_bridge"
 version = "0.1.0"
-source = "git+https://github.com/postgresml/postgresml#b949d45a2353141b3635d7f88b1fdd9cf78fa666"
 dependencies = [
  "rust_bridge_macros",
  "rust_bridge_traits",
@@ -1972,7 +1971,6 @@ dependencies = [
 [[package]]
 name = "rust_bridge_macros"
 version = "0.1.0"
-source = "git+https://github.com/postgresml/postgresml#b949d45a2353141b3635d7f88b1fdd9cf78fa666"
 dependencies = [
  "anyhow",
  "proc-macro2",
@@ -1983,7 +1981,6 @@ dependencies = [
 [[package]]
 name = "rust_bridge_traits"
 version = "0.1.0"
-source = "git+https://github.com/postgresml/postgresml#b949d45a2353141b3635d7f88b1fdd9cf78fa666"
 dependencies = [
  "neon",
 ]
diff --git a/pgml-sdks/pgml/src/collection.rs b/pgml-sdks/pgml/src/collection.rs
index 1cd6ccd8c..b0a814b4f 100644
--- a/pgml-sdks/pgml/src/collection.rs
+++ b/pgml-sdks/pgml/src/collection.rs
@@ -1051,6 +1051,7 @@ impl Collection {
     ///    }).into(), &mut pipeline).await?;
     ///    Ok(())
     /// }
+    #[allow(clippy::type_complexity)]
     #[instrument(skip(self))]
     pub async fn vector_search(
         &mut self,
@@ -1061,7 +1062,7 @@ impl Collection {
 
         let (built_query, values) =
             build_vector_search_query(query.clone(), self, pipeline).await?;
-        let results: Result<Vec<(Json, String, f64)>, _> =
+        let results: Result<Vec<(Json, String, f64, Option<f64>)>, _> =
             sqlx::query_as_with(&built_query, values)
                 .fetch_all(&pool)
                 .await;
@@ -1072,7 +1073,8 @@ impl Collection {
                     serde_json::json!({
                         "document": v.0,
                         "chunk": v.1,
-                        "score": v.2
+                        "score": v.2,
+                        "rerank_score": v.3
                     })
                     .into()
                 })
@@ -1087,7 +1089,7 @@ impl Collection {
                             .await?;
                         let (built_query, values) =
                             build_vector_search_query(query, self, pipeline).await?;
-                        let results: Vec<(Json, String, f64)> =
+                        let results: Vec<(Json, String, f64, Option<f64>)> =
                             sqlx::query_as_with(&built_query, values)
                                 .fetch_all(&pool)
                                 .await?;
@@ -1097,7 +1099,8 @@ impl Collection {
                                 serde_json::json!({
                                     "document": v.0,
                                     "chunk": v.1,
-                                    "score": v.2
+                                    "score": v.2,
+                                    "rerank_score": v.3
                                 })
                                 .into()
                             })
@@ -1121,16 +1124,18 @@ impl Collection {
         let pool = get_or_initialize_pool(&self.database_url).await?;
         let (built_query, values) =
             build_vector_search_query(query.clone(), self, pipeline).await?;
-        let results: Vec<(Json, String, f64)> = sqlx::query_as_with(&built_query, values)
-            .fetch_all(&pool)
-            .await?;
+        let results: Vec<(Json, String, f64, Option<f64>)> =
+            sqlx::query_as_with(&built_query, values)
+                .fetch_all(&pool)
+                .await?;
         Ok(results
             .into_iter()
             .map(|v| {
                 serde_json::json!({
                     "document": v.0,
                     "chunk": v.1,
-                    "score": v.2
+                    "score": v.2,
+                    "rerank_score": v.3
                 })
                 .into()
             })
diff --git a/pgml-sdks/pgml/src/lib.rs b/pgml-sdks/pgml/src/lib.rs
index 8060e23f1..16ec25ece 100644
--- a/pgml-sdks/pgml/src/lib.rs
+++ b/pgml-sdks/pgml/src/lib.rs
@@ -1553,6 +1553,88 @@ mod tests {
         Ok(())
     }
 
+    #[tokio::test]
+    async fn can_vector_search_with_local_embeddings_and_rerank() -> anyhow::Result<()> {
+        internal_init_logger(None, None).ok();
+        let collection_name = "test r_c_cvswlear_1";
+        let mut collection = Collection::new(collection_name, None)?;
+        let documents = generate_dummy_documents(10);
+        collection.upsert_documents(documents.clone(), None).await?;
+        let pipeline_name = "0";
+        let mut pipeline = Pipeline::new(
+            pipeline_name,
+            Some(
+                json!({
+                    "title": {
+                        "semantic_search": {
+                            "model": "intfloat/e5-small-v2",
+                            "parameters": {
+                                "prompt": "passage: "
+                            }
+                        },
+                        "full_text_search": {
+                            "configuration": "english"
+                        }
+                    },
+                    "body": {
+                        "splitter": {
+                            "model": "recursive_character"
+                        },
+                        "semantic_search": {
+                            "model": "intfloat/e5-small-v2",
+                            "parameters": {
+                                "prompt": "passage: "
+                            }
+                        },
+                    },
+                })
+                .into(),
+            ),
+        )?;
+        collection.add_pipeline(&mut pipeline).await?;
+        let results = collection
+            .vector_search(
+                json!({
+                    "query": {
+                        "fields": {
+                            "title": {
+                                "query": "Test document: 2",
+                                "parameters": {
+                                    "prompt": "passage: "
+                                },
+                                "full_text_filter": "test",
+                                "boost": 1.2
+                            },
+                            "body": {
+                                "query": "Test document: 2",
+                                "parameters": {
+                                    "prompt": "passage: "
+                                },
+                                "boost": 1.0
+                            },
+                        }
+                    },
+                    "rerank": {
+                        "query": "Test document 2",
+                        "model": "mixedbread-ai/mxbai-rerank-base-v1",
+                        "num_documents_to_rerank": 100
+                    },
+                    "limit": 5
+                })
+                .into(),
+                &mut pipeline,
+            )
+            .await?;
+        assert!(results[0]["rerank_score"].as_f64().is_some());
+        let ids: Vec<u64> = results
+            .into_iter()
+            .map(|r| r["document"]["id"].as_u64().unwrap())
+            .collect();
+        assert_eq!(ids, vec![2, 1, 3, 8, 6]);
+        collection.archive().await?;
+        Ok(())
+    }
+
     ///////////////////////////////
     // Working With Documents /////
     ///////////////////////////////
@@ -2207,6 +2289,11 @@ mod tests {
                                     "id"
                                 ]
                             },
+                            "rerank": {
+                                "query": "Test document 2",
+                                "model": "mixedbread-ai/mxbai-rerank-base-v1",
+                                "num_documents_to_rerank": 100
+                            },
                             "limit": 5
                         },
                         "aggregate": {
diff --git a/pgml-sdks/pgml/src/rag_query_builder.rs b/pgml-sdks/pgml/src/rag_query_builder.rs
index df8e48914..70927c005 100644
--- a/pgml-sdks/pgml/src/rag_query_builder.rs
+++ b/pgml-sdks/pgml/src/rag_query_builder.rs
@@ -212,9 +212,7 @@ pub async fn build_rag_query(
                         r#"(SELECT string_agg(chunk, '{}') FROM "{var_name}")"#,
                         vector_search.aggregate.join
                     ),
-                    format!(
-                        r#"(SELECT json_agg(jsonb_build_object('chunk', chunk, 'document', document, 'score', score)) FROM "{var_name}")"#
-                    ),
+                    format!(r#"(SELECT json_agg(j) FROM "{var_name}" j)"#),
                 )
             }
             ValidVariable::RawSQL(sql) => (format!("({})", sql.sql), format!("({})", sql.sql)),
diff --git a/pgml-sdks/pgml/src/vector_search_query_builder.rs b/pgml-sdks/pgml/src/vector_search_query_builder.rs
index 1b5976eba..c7fd402de 100644
--- a/pgml-sdks/pgml/src/vector_search_query_builder.rs
+++ b/pgml-sdks/pgml/src/vector_search_query_builder.rs
@@ -41,6 +41,20 @@ struct ValidDocument {
     keys: Option<Vec<String>>,
 }
 
+const fn default_num_documents_to_rerank() -> u64 {
+    10
+}
+
+#[derive(Debug, Deserialize, Serialize, Clone)]
+#[serde(deny_unknown_fields)]
+struct ValidRerank {
+    query: String,
+    model: String,
+    #[serde(default = "default_num_documents_to_rerank")]
+    num_documents_to_rerank: u64,
+    parameters: Option<Json>,
+}
+
 const fn default_limit() -> u64 {
     10
 }
@@ -56,6 +70,8 @@ pub struct ValidQuery {
     limit: u64,
     // Document related items
     document: Option<ValidDocument>,
+    // Rerank related items
+    rerank: Option<ValidRerank>,
 }
 
 pub async fn build_sqlx_query(
@@ -66,9 +82,14 @@ pub async fn build_sqlx_query(
     prefix: Option<&str>,
 ) -> anyhow::Result<(SelectStatement, Vec<CommonTableExpression>)> {
     let valid_query: ValidQuery = serde_json::from_value(query.0)?;
-    let limit = valid_query.limit;
     let fields = valid_query.query.fields.unwrap_or_default();
 
+    let search_limit = if let Some(rerank) = valid_query.rerank.as_ref() {
+        rerank.num_documents_to_rerank
+    } else {
+        valid_query.limit
+    };
+
     let prefix = prefix.unwrap_or("");
 
     if fields.is_empty() {
@@ -209,7 +230,7 @@ pub async fn build_sqlx_query(
                 Expr::col((SIden::Str("documents"), SIden::Str("id")))
                     .equals((SIden::Str("chunks"), SIden::Str("document_id"))),
             )
-            .limit(limit);
+            .limit(search_limit);
 
         if let Some(filter) = &valid_query.query.filter {
             let filter = FilterBuilder::new(filter.clone().0, "documents", "document").build()?;
@@ -272,7 +293,79 @@ pub async fn build_sqlx_query(
     // Resort and limit
     query
         .order_by(SIden::Str("score"), Order::Desc)
-        .limit(limit);
+        .limit(search_limit);
+
+    // Rerank
+    let query = if let Some(rerank) = &valid_query.rerank {
+        // Add our vector_search CTE
+        let mut vector_search_cte = CommonTableExpression::from_select(query);
+        vector_search_cte.table_name(Alias::new(format!("{prefix}_vector_search")));
+        ctes.push(vector_search_cte);
+
+        // Add our row_number_vector_search CTE
+        let mut row_number_vector_search = Query::select();
+        row_number_vector_search
+            .columns([
+                SIden::Str("document"),
+                SIden::Str("chunk"),
+                SIden::Str("score"),
+            ])
+            .from(SIden::String(format!("{prefix}_vector_search")));
+        row_number_vector_search
+            .expr_as(Expr::cust("ROW_NUMBER() OVER ()"), Alias::new("row_number"));
+        let mut row_number_vector_search_cte =
+            CommonTableExpression::from_select(row_number_vector_search);
+        row_number_vector_search_cte
+            .table_name(Alias::new(format!("{prefix}_row_number_vector_search")));
+        ctes.push(row_number_vector_search_cte);
+
+        // Our actual select statement
+        let mut query = Query::select();
+        query.columns([
+            SIden::Str("document"),
+            SIden::Str("chunk"),
+            SIden::Str("score"),
+        ]);
+        query.expr_as(Expr::cust("(rank).score"), Alias::new("rank_score"));
+
+        // Build the actual select statement sub query
+        let mut sub_query_rank_call = Query::select();
+        let model_expr = Expr::cust_with_values("$1", [rerank.model.clone()]);
+        let query_expr = Expr::cust_with_values("$1", [rerank.query.clone()]);
+        let parameters_expr =
+            Expr::cust_with_values("$1", [rerank.parameters.clone().unwrap_or_default().0]);
+        sub_query_rank_call.expr_as(Expr::cust_with_exprs(
+            format!(r#"pgml.rank($1, $2, array_agg("chunk"), '{{"return_documents": false, "top_k": {}}}'::jsonb || $3)"#, valid_query.limit),
+            [model_expr, query_expr, parameters_expr],
+        ), Alias::new("rank"))
+        .from(SIden::String(format!("{prefix}_row_number_vector_search")));
+
+        let mut sub_query = Query::select();
+        sub_query
+            .columns([
+                SIden::Str("document"),
+                SIden::Str("chunk"),
+                SIden::Str("score"),
+                SIden::Str("rank"),
+            ])
+            .from_as(
+                SIden::String(format!("{prefix}_row_number_vector_search")),
+                Alias::new("rnsv1"),
+            )
+            .join_subquery(
+                JoinType::InnerJoin,
+                sub_query_rank_call,
+                Alias::new("rnsv2"),
+                Expr::cust("((rank).corpus_id + 1) = rnsv1.row_number"),
+            );
+
+        // Query from the sub query
+        query.from_subquery(sub_query, Alias::new("sub_query"));
+
+        query
+    } else {
+        query
+    };
 
     Ok((query, ctes))
 }

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