GITBOOK-37: Blog post to promo Pgconf (linked from feature banner)

Cassandra Stumer · gitbook-bot · commit 59977c3c3eaf · 2024-03-19T20:26:27.000Z
diff --git a/pgml-cms/blog/SUMMARY.md b/pgml-cms/blog/SUMMARY.md
@@ -1,12 +1,13 @@
 # Table of contents
 
 * [Home](README.md)
+* [Meet us at the 2024 Postgres Conference!](meet-us-at-the-2024-postgres-conference.md)
+* [The 1.0 SDK is Here](the-1.0-sdk-is-here.md)
+* [Using PostgresML with Django and embedding search](using-postgresml-with-django-and-embedding-search.md)
+* [PostgresML is going multicloud](postgresml-is-going-multicloud.md)
 * [Introducing the OpenAI Switch Kit: Move from closed to open-source AI in minutes](introducing-the-openai-switch-kit-move-from-closed-to-open-source-ai-in-minutes.md)
 * [Speeding up vector recall 5x with HNSW](speeding-up-vector-recall-5x-with-hnsw.md)
 * [How-to Improve Search Results with Machine Learning](how-to-improve-search-results-with-machine-learning.md)
-* [The 1.0 SDK is Here](the-1.0-sdk-is-here.md)
-* [PostgresML is going multicloud](postgresml-is-going-multicloud.md)
-* [Using PostgresML with Django and embedding search](using-postgresml-with-django-and-embedding-search.md)
 * [pgml-chat: A command-line tool for deploying low-latency knowledge-based chatbots](pgml-chat-a-command-line-tool-for-deploying-low-latency-knowledge-based-chatbots-part-i.md)
 * [Announcing Support for AWS us-east-1 Region](announcing-support-for-aws-us-east-1-region.md)
 * [LLM based pipelines with PostgresML and dbt (data build tool)](llm-based-pipelines-with-postgresml-and-dbt-data-build-tool.md)
diff --git a/pgml-cms/blog/meet-us-at-the-2024-postgres-conference.md b/pgml-cms/blog/meet-us-at-the-2024-postgres-conference.md
@@ -0,0 +1,40 @@
+---
+description: Announcing our sponsorship of the Postgres Conference in San Jose April 17-19
+---
+
+# Meet us at the 2024 Postgres Conference!
+
+<div align="left">
+
+<figure><img src=".gitbook/assets/image.png" alt="Author" width="100"><figcaption></figcaption></figure>
+
+</div>
+
+Cassandra Stumer
+
+March 20, 2023
+
+Hey database aficionados, mark your calendars because something big is coming your way! We're thrilled to announce that we will be sponsoring the[ 2024 Postgres Conference](https://postgresconf.org/conferences/2024) – the marquee PostgreSQL conference event for North America.&#x20;
+
+Why should you care? It's not every day you get to dive headfirst into the world of Postgres with folks who eat, sleep, and breathe data. We're talking hands-on workshops, lightning talks, and networking galore. Whether you're itching to sharpen your SQL skills or keen to explore the frontier of machine learning in the database, we've got you covered.
+
+{% hint style="info" %}
+Save 25% on your ticket with our discount code: 2024\_POSTGRESML\_25
+{% endhint %}
+
+\
+PostgresML CEO and founder, Montana Low, will kick off the event on April 17th with a keynote about navigating the confluence of hardware evolution and machine learning technology.&#x20;
+
+We’ll also be hosting a masterclass in retrieval augmented generation (RAG) on April 18th. Our own Silas Marvin will give hands-on guidance to equip you with the ability to implement RAG directly within your database.&#x20;
+
+But wait, there's more! Our senior team will be at our booth at all hours to get to know you, talk shop, and answer any questions you may have. Whether it's about PostgresML, machine learning, or all the sweet merch we’ll have on deck.&#x20;
+
+{% hint style="info" %}
+If you’d like some 1:1 time with our team at PgConf [contact us here](https://postgresml.org/contact). We’d be happy to prep something special for you.&#x20;
+{% endhint %}
+
+So, why sit on the sidelines when you could be right in the thick of it, soaking up knowledge, making connections, and maybe even stumbling upon your next big breakthrough? Clear your schedule, grab your ticket, and get ready to geek out with us in San Jose.
+
+See you there!
+
+\
diff --git a/pgml-cms/blog/the-1.0-sdk-is-here.md b/pgml-cms/blog/the-1.0-sdk-is-here.md
@@ -1,5 +1,5 @@
 ---
-featured: true
+featured: false
 tags:
   - product
 description: >-
diff --git a/pgml-cms/blog/using-postgresml-with-django-and-embedding-search.md b/pgml-cms/blog/using-postgresml-with-django-and-embedding-search.md
@@ -28,7 +28,7 @@ PostgresML allows anyone to integrate advanced AI capabilities into their applic
 
 Advanced search engines like Google use this technique to extract the meaning of search queries and rank the results based on what the user actually _wants_, unlike simple keyword matches which can easily give irrelevant results.
 
-To accomplish this, for each document in our app, we include an embedding column stored as a vector. A vector is just an array of floating point numbers. For each item in our to-do list, we automatically generate the embedding using the PostgresML [`pgml.embed()`](https://postgresml.org/docs/api/sql-extension/pgml.embed) function. This function runs inside the database and doesn't require the Django app to install the model locally.
+To accomplish this, for each document in our app, we include an embedding column stored as a vector. A vector is just an array of floating point numbers. For each item in our to-do list, we automatically generate the embedding using the PostgresML [`pgml.embed()`](https://postgresml.org/docs/introduction/apis/sql-extensions/pgml.embed) function. This function runs inside the database and doesn't require the Django app to install the model locally.
 
 An embedding model running inside PostgresML is able to extract the meaning of search queries & compare it to the meaning of the documents it stores, just like a human being would if they were able to search millions of documents in just a few milliseconds.
 
