May 2, 2024 · May 2, 2024
diff --git a/pgml-cms/docs/api/client-sdk/tutorials/semantic-search-1.md b/pgml-cms/docs/api/client-sdk/tutorials/semantic-search-1.md

 This tutorial demonstrates using the`pgml` SDK to create a collection, add documents, build a pipeline for vector search, make a sample query, and archive the collection when finished.  In this tutorial we use[hkunlp/instructor-base](https://huggingface.co/hkunlp/instructor-base), a more advanced embeddings model that takes parameters when doing embedding and recall.

 [Link to full JavaScript implementation](../../../../../pgml-sdks/pgml/javascript/examples/question\_answering.js)
 [Link to full JavaScript implementation](https://github.com/postgresml/postgresml/blob/master/pgml-sdks/pgml/javascript/examples/question_answering.js)

 [Link to full Python implementation](../../../../../pgml-sdks/pgml/python/examples/question\_answering.py)
 [Link to full Python implementation](https://github.com/postgresml/postgresml/blob/master/pgml-sdks/pgml/python/examples/question_answering.py)

 ##Imports and Setup

 The SDK is imported and environment variables are loaded.

 {% tabs %}
 {% tab title="JavasScript" %}
 {% tab title="JavaScript" %}
 ```js
 constpgml=require("pgml");
 require("dotenv").config();
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Expand Up		@@ -6,16 +6,16 @@ description: Example for Semantic Search

		This tutorial demonstrates using the`pgml` SDK to create a collection, add documents, build a pipeline for vector search, make a sample query, and archive the collection when finished. In this tutorial we use[hkunlp/instructor-base](https://huggingface.co/hkunlp/instructor-base), a more advanced embeddings model that takes parameters when doing embedding and recall.

		[Link to full JavaScript implementation](../../../../../pgml-sdks/pgml/javascript/examples/question\_answering.js)
		[Link to full JavaScript implementation](https://github.com/postgresml/postgresml/blob/master/pgml-sdks/pgml/javascript/examples/question_answering.js)

		[Link to full Python implementation](../../../../../pgml-sdks/pgml/python/examples/question\_answering.py)
		[Link to full Python implementation](https://github.com/postgresml/postgresml/blob/master/pgml-sdks/pgml/python/examples/question_answering.py)

		##Imports and Setup

		The SDK is imported and environment variables are loaded.

		{% tabs %}
		{% tab title="JavasScript" %}
		{% tab title="JavaScript" %}
		```js
		constpgml=require("pgml");
		require("dotenv").config();
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