diff --git a/pgml-cms/blog/announcing-postgresml-django.md b/pgml-cms/blog/announcing-postgresml-django.md index dceedd98f..aad43c6af 100644 --- a/pgml-cms/blog/announcing-postgresml-django.md +++ b/pgml-cms/blog/announcing-postgresml-django.md @@ -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: @@ -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: pFad - Phonifier reborn

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