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diff --git a/analytics/sprint-run-heatwave-genai/manifest.json b/analytics/sprint-run-heatwave-genai/manifest.json
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+{
+ "workshoptitle": "HeatWave GenAI LiveLabs",
+ "help": "livelabs-help-analytics_us@oracle.com",
+ "tutorials": [
+ {
+ "title": "How do I set a Help chat using HeatWave GenAI?",
+ "description": "Learn how to set up a Help chat using the vector store and RAG functionalities of HeatWave GenAI together with HeatWave Chat.",
+ "filename": "./set-up-help-chat.md"
+ }
+ ],
+ "task_type": "Sections"
+}
diff --git a/analytics/sprint-run-heatwave-genai/set-up-help-chat.md b/analytics/sprint-run-heatwave-genai/set-up-help-chat.md
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+# How to Set Up a GenAI-Powered Help Chat?
+
+This lab shows how to use the vector store functionality and use HeatWave Chat to create an AI-powered Help chat that refers to the HeatWave user guide to respond to HeatWave related queries.
+
+**Note**: This quickstart assumes that you’re familiar with the HeatWave database systems.
+
+## Setting Up the Object Storage Bucket
+
+1. Download the [HeatWave user guide PDF (A4) - 1.7Mb](https://downloads.mysql.com/docs/heatwave-en.a4.pdf).
+2. [Create an Object Storage Bucket](https://docs.oracle.com/en-us/iaas/Content/Object/Tasks/managingbuckets_topic-To_create_a_bucket.htm) with the name `quickstart_bucket`.
+3. [Upload the PDF file to the Object Storage Bucket](https://docs.oracle.com/en-us/iaas/Content/Object/Tasks/managingobjects_topic-To_upload_objects_to_a_bucket.htm) using the prefix `quickstart/` to create a new folder by the name **quickstart**.
+
+
+## Setting Up the Environment
+
+1. [Connect to your HeatWave database system](https://docs.oracle.com/en-us/iaas/mysql-database/doc/compute-instance.html#GUID-6087DA45-06E0-44AD-9CAB-0FC37423A07A).
+ To run this quickstart, you need HeatWave database system version `9.0.0 - Innovation` or higher.
+1. If not already done, [add a HeatWave Cluster to your database system](https://docs.oracle.com/en-us/iaas/mysql-database/doc/adding-heatwave-cluster.html).
+1. If not already done, [enable HeatWave Lakehouse on the database system](https://docs.oracle.com/en-us/iaas/mysql-database/doc/managing-heatwave-cluster.html#MYAAS-GUID-1E6279C0-B7DB-4110-975B-2812846E3CD7).
+1. Enable the database system to access an OCI Object Storage bucket. For more information, see [Resource Principals](https://dev.mysql.com/doc/heatwave/en/mys-hw-resource-principal.html).
+
+## Setting Up the Vector Store
+
+1. Create a new database:
+
+ ```mysql
+ create database quickstart_db;
+ ```
+1. Create the new database:
+
+ ```mysql
+ use quickstart_db;
+ ```
+1. Call the following method to create a schema used for task management:
+
+ ```mysql
+ select mysql_task_management_ensure_schema();
+ ```
+
+1. Create the vector table and load the source document:
+
+ ```mysql
+ call sys.vector_store_load('oci://quickstart_bucket@/quickstart/heatwave-en.a4.pdf', '{"table_name": "quickstart_embeddings"}');
+ ```
+
+ Replace with the name of the tenancy that you're using.
+
+ This creates a task in the background which loads the vector embeddings into the specified table `quickstart_embeddings`.
+
+1. To track the progress of the task, run the task query displayed on the screen:
+
+ ```mysql
+ select id, name, message, progress, status, scheduled_time,estimated_completion_time, estimated_remaining_time, progress_bar FROM mysql_task_management.task_status WHERE id=TaskID\G
+ ```
+
+ Replace **TaskID** with the task ID that is displayed.
+
+ The output looks similar to the following:
+
+ ```none
+ id: 1
+ name: Vector Store Loader
+ message: Task starting.
+ progress: 0
+ status: RUNNING
+ scheduled_time: 2024-07-02 14:42:38
+ estimated_completion_time: NULL
+ estimated_remaining_time: NULL
+ progress_bar: __________
+ ```
+
+1. After the task status has changed to Completed, verify that embeddings are loaded in the vector embeddings table:
+
+ ```mysql
+ select count(*) from quickstart_embeddings;
+ ```
+
+ If you a numerical value in the output, similar to the following, then your embeddings are successfully loaded in the table:
+
+ ```none
+ +----------+
+ | count(*) |
+ +----------+
+ | 2112 |
+ +----------+
+ ```
+
+## Starting a Chat Session
+
+1. Clear the previous chat history and states:
+
+ ```mysql
+ set @chat_options=NULL;
+ ```
+
+1. Ask your question using HeatWave Chat:
+
+ ```mysql
+ call sys.heatwave_chat("What is HeatWave AutoML?");
+ ```
+
+ The `heatwave_chat` method automatically loads the LLM and runs a contextual search on the available vector stores by default. The output is similar to the following:
+
+ ```none
+ | HeatWave AutoML is a feature of MySQL HeatWave that makes it easy to use machine learning,
+ whether you are a novice user or an experienced ML practitioner. It analyzes the characteristics
+ of the data and creates an optimized machine learning model that can be used to generate
+ predictions and explanations. The data and models never leave MySQL HeatWave, saving time and
+ effort while keeping the data and models secure. HeatWave AutoML is optimized for HeatWave shapes
+ and scaling, and all processing is performed on the HeatWave Cluster. |
+ ```
+
+1. Ask a follow-up question:
+
+ ```mysql
+ call sys. heatwave_chat("How to set it up?");
+ ```
+
+ The output is similar to the following:
+
+ ```none
+ | To set up HeatWave AutoML in MySQL HeatWave, you need to follow these steps:
+ 1\. Ensure that you have an operational MySQL DB System and are able to connect to it using a MySQL client.
+ If not, complete the steps described in Getting Started with MySQL HeatWave.
+ 2\. Ensure that your MySQL DB System has an operational HeatWave Cluster. If not, complete the steps
+ described in Adding a HeatWave Cluster.
+ 3\. Obtain the MySQL user privileges described in Section 3.2, Before You Begin.
+ 4\. Prepare and load training and test data. See Section 3.4, Preparing Data.
+ 5\. Train a machine learning model. See Section 3.5, Training a Model.
+ 6\. Make predictions using the trained model. See Section 3.6, Making Predictions.
+ 7\. Generate explanations for the predictions made by the model. See Section 3.7, Generating Explanations.
+ 8\. Monitor and manage the performance of the model. See Section 3.8, Monitoring and Managing Performance. |
+ ```
+
+ You can continue asking follow-up questions in the same chat session.
+
+## Cleaning Up
+
+To avoid being billed for the resources that you created for this quickstart, perform the following steps:
+
+1. Delete the database that you created:
+
+ ```mysql
+ drop database quickstart_db;
+ ```
+
+1. Delete `quickstart_bucket`. For more information, see [Deleting the Object Storage Bucket](https://docs.oracle.com/en-us/iaas/Content/Object/Tasks/managingbuckets_topic-To_delete_a_bucket.htm).