diff --git a/extension/sql/vectorize--0.15.1--0.16.0.sql b/extension/sql/vectorize--0.15.1--0.16.0.sql
index 9dead79..0e822b8 100644
--- a/extension/sql/vectorize--0.15.1--0.16.0.sql
+++ b/extension/sql/vectorize--0.15.1--0.16.0.sql
@@ -1,10 +1,10 @@
--- src/api.rs:157
+-- src/api.rs:158
 -- vectorize::api::generate
 CREATE  FUNCTION vectorize."generate"(
 	"input" TEXT, /* &str */
 	"model" TEXT DEFAULT 'openai/gpt-3.5-turbo', /* alloc::string::String */
 	"api_key" TEXT DEFAULT NULL /* core::option::Option<alloc::string::String> */
-) RETURNS double precision[] /* core::result::Result<alloc::vec::Vec<f64>, anyhow::Error> */
+) RETURNS TEXT /* core::result::Result<alloc::string::String, anyhow::Error> */
 LANGUAGE c /* Rust */
 AS 'MODULE_PATHNAME', 'generate_wrapper';
 
@@ -17,11 +17,11 @@ STRICT
 LANGUAGE c /* Rust */
 AS 'MODULE_PATHNAME', 'env_interpolate_guc_wrapper';
 
--- src/api.rs:78
+-- src/api.rs:79
 -- vectorize::api::encode
 CREATE  FUNCTION vectorize."encode"(
 	"input" TEXT, /* &str */
-	"model_name" TEXT DEFAULT 'openai/text-embedding-ada-002', /* alloc::string::String */
+	"model" TEXT DEFAULT 'openai/text-embedding-ada-002', /* alloc::string::String */
 	"api_key" TEXT DEFAULT NULL /* core::option::Option<alloc::string::String> */
 ) RETURNS double precision[] /* core::result::Result<alloc::vec::Vec<f64>, anyhow::Error> */
 LANGUAGE c /* Rust */
diff --git a/extension/src/api.rs b/extension/src/api.rs
index f62baa4..3f840f9 100644
--- a/extension/src/api.rs
+++ b/extension/src/api.rs
@@ -1,4 +1,5 @@
-use crate::chat::ops::call_chat;
+use crate::chat::ops::{call_chat, get_chat_response};
+use crate::chat::types::RenderedPrompt;
 use crate::search::{self, init_table};
 use crate::transformers::generic::env_interpolate_string;
 use crate::transformers::transform;
@@ -77,10 +78,10 @@ fn transform_embeddings(
 #[pg_extern]
 fn encode(
     input: &str,
-    model_name: default!(String, "'openai/text-embedding-ada-002'"),
+    model: default!(String, "'openai/text-embedding-ada-002'"),
     api_key: default!(Option<String>, "NULL"),
 ) -> Result<Vec<f64>> {
-    let model = Model::new(&model_name)?;
+    let model = Model::new(&model)?;
     Ok(transform(input, &model, api_key).remove(0))
 }
 
@@ -158,9 +159,13 @@ fn generate(
     input: &str,
     model: default!(String, "'openai/gpt-3.5-turbo'"),
     api_key: default!(Option<String>, "NULL"),
-) -> Result<Vec<f64>> {
+) -> Result<String> {
     let model = Model::new(&model)?;
-    Ok(transform(input, &model, api_key).remove(0))
+    let prompt = RenderedPrompt {
+        sys_rendered: "".to_string(),
+        user_rendered: input.to_string(),
+    };
+    get_chat_response(prompt, &model, api_key)
 }
 
 #[pg_extern]
@@ -169,6 +174,6 @@ fn env_interpolate_guc(guc_name: &str) -> Result<String> {
         "SELECT current_setting($1)",
         vec![(PgBuiltInOids::TEXTOID.oid(), guc_name.into_datum())],
     )?
-    .expect(&format!("no value set for guc: {guc_name}"));
-    Ok(env_interpolate_string(&g)?)
+    .unwrap_or_else(|| panic!("no value set for guc: {guc_name}"));
+    env_interpolate_string(&g)
 }
diff --git a/extension/src/chat/ops.rs b/extension/src/chat/ops.rs
index ffc1554..b579cc8 100644
--- a/extension/src/chat/ops.rs
+++ b/extension/src/chat/ops.rs
@@ -123,15 +123,7 @@ pub fn call_chat(
     )?;
 
     // http request to chat completions
-    let chat_response = match chat_model.source {
-        ModelSource::OpenAI | ModelSource::Tembo => {
-            call_chat_completions(rendered_prompt, chat_model, api_key)?
-        }
-        ModelSource::SentenceTransformers => {
-            error!("SentenceTransformers not supported for chat completions");
-        }
-        ModelSource::Ollama => call_ollama_chat_completions(rendered_prompt, &chat_model.name)?,
-    };
+    let chat_response = get_chat_response(rendered_prompt, chat_model, api_key)?;
 
     Ok(ChatResponse {
         context: search_results,
@@ -139,6 +131,20 @@ pub fn call_chat(
     })
 }
 
+pub fn get_chat_response(
+    prompt: RenderedPrompt,
+    model: &Model,
+    api_key: Option<String>,
+) -> Result<String> {
+    match model.source {
+        ModelSource::OpenAI | ModelSource::Tembo => call_chat_completions(prompt, model, api_key),
+        ModelSource::SentenceTransformers => {
+            error!("SentenceTransformers not supported for chat completions");
+        }
+        ModelSource::Ollama => call_ollama_chat_completions(prompt, &model.name),
+    }
+}
+
 fn render_user_message(user_prompt_template: &str, context: &str, query: &str) -> Result<String> {
     let handlebars = Handlebars::new();
     let render_vals = serde_json::json!({
diff --git a/extension/src/transformers/generic.rs b/extension/src/transformers/generic.rs
index 6fd5963..bf3cf28 100644
--- a/extension/src/transformers/generic.rs
+++ b/extension/src/transformers/generic.rs
@@ -9,12 +9,12 @@ pub fn get_env_interpolated_guc(requested: guc::VectorizeGuc) -> Result<String>
     } else {
         match requested {
             guc::VectorizeGuc::EmbeddingServiceUrl => {
-                return Err(anyhow::anyhow!("vectorize.embedding_service_url not set"))
+                Err(anyhow::anyhow!("vectorize.embedding_service_url not set"))
             }
             guc::VectorizeGuc::OpenAIServiceUrl => {
-                return Err(anyhow::anyhow!("vectorize.openai_service_url not set"))
+                Err(anyhow::anyhow!("vectorize.openai_service_url not set"))
             }
-            _ => return Err(anyhow::anyhow!("GUC not found")),
+            _ => Err(anyhow::anyhow!("GUC not found")),
         }
     }
 }