Sep 10, 2024 · Sep 10, 2024
diff --git a/pgml-cms/blog/announcing-postgresml-django.md b/pgml-cms/blog/announcing-postgresml-django.md

 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.

 ## QuickStart
 ## Quickstart

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


 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.

 ## WhyWe areExcited About this
 ## Whywe areexcited about this

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

		## QuickStart
		## Quickstart

		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.

		## WhyWe areExcited About this
		## Whywe areexcited about this

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

Expand Down