diff --git a/docs/source/overview/connect-to-data-sources.rst b/docs/source/overview/connect-to-data-sources.rst
index e3ae055683..6f32281c25 100644
--- a/docs/source/overview/connect-to-data-sources.rst
+++ b/docs/source/overview/connect-to-data-sources.rst
@@ -6,7 +6,7 @@ EvaDB supports a wide range of data sources including SQL database systems, obje
 Connect to an Existing SQL Database System
 ------------------------------------------
 
-1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database.
+1. Use the :ref:`CREATE DATABASE<create-database>` statement to connect to an **existing** SQL database server. For example, here is the SQL command to connect EvaDB with a locally running :ref:`PostgreSQL<postgresql>` database server running on port ``5432``.
 
 .. code-block::
 
@@ -20,13 +20,20 @@ Connect to an Existing SQL Database System
        "database": "restaurant_reviews"
    };
 
-.. note::
+For quick prototyping, you can use an embedded :ref:`SQLite<sqlite>` database. Here, the SQLite database file is called ``evadb.db``.
 
-   Go over the :ref:`CREATE DATABASE<create-database>` statement for more details. The :ref:`Databases<databases>` page lists all the database systems that EvaDB currently supports.
+.. code-block::
+
+   CREATE DATABASE restaurant_reviews 
+   WITH ENGINE = 'sqlite', 
+   PARAMETERS = {
+       "database": "evadb.db"
+   };
 
 .. note::
 
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
+   Go over the :ref:`CREATE DATABASE<create-database>` statement for more details. The :ref:`Databases<databases>` page lists all the database systems that EvaDB currently supports.
+
 
 2. Preview the data using ``SELECT``
 
diff --git a/docs/source/reference/databases/postgres.rst b/docs/source/reference/databases/postgres.rst
index 5c1309b7d8..de5a130a0b 100644
--- a/docs/source/reference/databases/postgres.rst
+++ b/docs/source/reference/databases/postgres.rst
@@ -1,3 +1,5 @@
+.. _postgresql:
+
 PostgreSQL
 ==========
 
diff --git a/docs/source/shared/postgresql.rst b/docs/source/shared/postgresql.rst
index 3af309e67a..049cb0ea3f 100644
--- a/docs/source/shared/postgresql.rst
+++ b/docs/source/shared/postgresql.rst
@@ -1,7 +1,12 @@
 Connect EvaDB to PostgreSQL Database Server
 -------------------------------------------
 
-We will assume that you have a ``PostgreSQL`` database server running locally that contains the data needed for analysis. Follow these instructions to install `PostgreSQL <https://www.postgresql.org/download/>`_.
+We will assume that you have a :ref:`PostgreSQL<postgresql>` database running locally that contains the data needed for analysis. Follow these instructions to install `PostgreSQL <https://www.postgresql.org/download/>`_. 
+
+.. note::
+    If find it challenging to install the ``PostgreSQL`` database on your machine, here is an alternative for quick prototyping. 
+    
+    You can use an embedded :ref:`SQLite<sqlite>` database. If you go with the ``sqlite`` database, alter the SQL commands in this tutorial to use the ``sqlite`` engine and the ``evadb.db`` SQLite database file as explained in the :ref:`SQLite<sqlite>` page.
 
 EvaDB lets you connect to your favorite databases, data warehouses, data lakes, etc., via the ``CREATE DATABASE`` statement. In this query, we connect EvaDB to an existing ``PostgreSQL`` server:
 
diff --git a/docs/source/usecases/classification.rst b/docs/source/usecases/classification.rst
index 1fbb2823d9..a1fb192d92 100644
--- a/docs/source/usecases/classification.rst
+++ b/docs/source/usecases/classification.rst
@@ -31,10 +31,6 @@ In this tutorial, we present how to to create and train a machine learning model
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home rental data into your database, see the complete `home rental prediction notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/17-home-rental-prediction.ipynb>`_.
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Preview the Home Rental Price Data
 ----------------------------------
 
diff --git a/docs/source/usecases/forecasting.rst b/docs/source/usecases/forecasting.rst
index d6f1b62bc4..8f7bb8575b 100644
--- a/docs/source/usecases/forecasting.rst
+++ b/docs/source/usecases/forecasting.rst
@@ -31,10 +31,6 @@ In this tutorial, we present how to create and train a machine learning model fo
 We will assume that the input data is loaded into a ``PostgreSQL`` database. 
 To load the home sales dataset into your database, see the complete `home sale forecasting notebook on Colab <https://colab.research.google.com/github/georgia-tech-db/eva/blob/staging/tutorials/16-homesale-forecasting.ipynb>`_.
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Preview the Home Sale Price Data
 --------------------------------
 
diff --git a/docs/source/usecases/sentiment-analysis.rst b/docs/source/usecases/sentiment-analysis.rst
index 74d6eade77..a7dfeb2d98 100644
--- a/docs/source/usecases/sentiment-analysis.rst
+++ b/docs/source/usecases/sentiment-analysis.rst
@@ -31,10 +31,6 @@ To load the food review data into your database, see the complete `sentiment ana
 
 .. include:: ../shared/postgresql.rst
 
-.. note::
-
-   For prototyping, users can opt to establish a connection to :ref:`SQLite<sqlite>`.
-
 Sentiment Analysis of Reviews using ChatGPT
 -------------------------------------------