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4 changes: 2 additions & 2 deletions pgml-cms/blog/announcing-postgresml-django.md
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ With postgresml-django, you can:

Whether you're building a recommendation system, a semantic search engine, or any application requiring text similarity comparisons, postgresml-django streamlines your workflow and enhances your Django projects with the power of PostgresML.

## Quick Start
## Quick start

Here's a simple example of how to use postgresml-django with a Django model:

Expand All @@ -48,7 +48,7 @@ results = Document.vector_search("text_embedding", "query to search against")

In this example, we define a `Document` model with a `text` field and a `text_embedding` VectorField. The VectorField automatically generates embeddings for the `text` field using the specified transformer. The `vector_search` method allows for easy similarity searches based on these embeddings.

## Why We are Excited About this
## Why we are excited about this

There are ton of reasons we are excited for this release but they can all be summarized by two main points:

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