Skip to content

Update semantic-search-1.md #1435

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
May 2, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions pgml-cms/docs/api/client-sdk/tutorials/semantic-search-1.md
Original file line number Diff line number Diff line change
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
const pgml = require("pgml");
require("dotenv").config();
Expand Down