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)

The SDK is imported and environment variables are loaded.

{% tabs %}

{% tab title="JavasScript" %}

{% tab title="JavaScript" %}

constpgml=require("pgml");

require("dotenv").config();