Updated example [skip ci]

Author: ankane

examples/openai/Cargo.toml

@@ -8,4 +8,4 @@ publish = false
 pgvector = { path = "../..", features = ["postgres"] }
 postgres = "0.19"
 serde_json = "1"
-ureq = { version = "2", features = ["json"] }
+ureq = { version = "3", features = ["json"] }

examples/openai/src/main.rs

@@ -12,7 +12,10 @@ fn main() -> Result<(), Box<dyn Error>> {
 
     client.execute("CREATE EXTENSION IF NOT EXISTS vector", &[])?;
     client.execute("DROP TABLE IF EXISTS documents", &[])?;
-    client.execute("CREATE TABLE documents (id serial PRIMARY KEY, content text, embedding vector(1536))", &[])?;
+    client.execute(
+        "CREATE TABLE documents (id serial PRIMARY KEY, content text, embedding vector(1536))",
+        &[],
+    )?;
 
     let input = [
         "The dog is barking",
@@ -23,7 +26,10 @@ fn main() -> Result<(), Box<dyn Error>> {
 
     for (content, embedding) in input.iter().zip(embeddings) {
         let embedding = Vector::from(embedding);
-        client.execute("INSERT INTO documents (content, embedding) VALUES ($1, $2)", &[&content, &embedding])?;
+        client.execute(
+            "INSERT INTO documents (content, embedding) VALUES ($1, $2)",
+            &[&content, &embedding],
+        )?;
     }
 
     let document_id = 2;
@@ -39,12 +45,13 @@ fn fetch_embeddings(input: &[&str]) -> Result<Vec<Vec<f32>>, Box<dyn Error>> {
     let api_key = std::env::var("OPENAI_API_KEY").or(Err("Set OPENAI_API_KEY"))?;
 
     let response: Value = ureq::post("https://api.openai.com/v1/embeddings")
-        .set("Authorization", &format!("Bearer {}", api_key))
-        .send_json(ureq::json!({
+        .header("Authorization", &format!("Bearer {}", api_key))
+        .send_json(serde_json::json!({
             "input": input,
             "model": "text-embedding-3-small",
         }))?
-        .into_json()?;
+        .body_mut()
+        .read_json()?;
 
     let embeddings = response["data"]
         .as_array()