Updated date for korvus launch blog post

postgresml · SilasMarvin · Jul 10, 2024 · Jul 2, 2024 · Jul 3, 2024 · Jul 8, 2024
commit f26ad3ef06e8797d7193914d6c346fc1e2930ace
diff --git a/pgml-cms/blog/introducing-korvus-the-all-in-one-rag-pipeline-for-postgresml.md b/pgml-cms/blog/introducing-korvus-the-all-in-one-rag-pipeline-for-postgresml.md
@@ -15,7 +15,7 @@ image: ".gitbook/assets/Blog-Image_Korvus-Release.jpg"
 
 Cassandra Stumer
 
-June 4, 2024
+July 10, 2024
 
 You’re probably all too familiar with the complexities of building and maintaining RAG pipelines. The multiple services, the API calls, the data movement. Managing and scaling efficient infrastructure is the woefully painful and un-sexy side of building any ML/AI system. It’s also the most crucial factor when it comes to delivering real-world, production applications. That’s why we perform machine learning directly in PostgreSQL.