Update Documents for AI Database (#306)

gotsysdba · web-flow · commit cd21e323d6fb · 2025-10-15T16:18:51.000+01:00
diff --git a/README.md b/README.md
@@ -7,7 +7,7 @@
 
 ## Description
 
-The **Oracle AI Optimizer and Toolkit** (the **AI Optimizer**) provides a streamlined environment where developers and data scientists can explore the potential of Generative Artificial Intelligence (GenAI) combined with Retrieval-Augmented Generation (RAG) capabilities. By integrating **Oracle Database 23ai** AI VectorSearch and SelectAI, the Sandbox enables users to enhance existing Large Language Models (LLMs) through RAG.
+The **Oracle AI Optimizer and Toolkit** (the **AI Optimizer**) provides a streamlined environment where developers and data scientists can explore the potential of Generative Artificial Intelligence (GenAI) combined with Retrieval-Augmented Generation (RAG) capabilities. By integrating **Oracle AI Database** VectorSearch and SelectAI, the Sandbox enables users to enhance existing Large Language Models (LLMs) through RAG.
 
 ## AI Optimizer Features
 
@@ -25,7 +25,7 @@ For more information, including more details on **Setup and Configuration** plea
 
 ### Prerequisites
 
-- Oracle Database 23ai incl. Oracle Database 23ai Free
+- Oracle AI Database incl. Oracle AI Database Free
 - Python 3.11 (for running Bare-Metal)
 - Container Runtime e.g. docker/podman (for running in a Container)
 - Access to an Embedding and Chat Model:
@@ -89,7 +89,7 @@ To run the application in a container; download the [source](https://github.com/
 
 The **AI Optimizer** can be deployed in Oracle Cloud Infrastructure (OCI) using Infrastructure as Code (IaC).
 
-Choose either a light-weight Virtual Machine or robust Oracle Kubernetes Engine deployment, both with an Oracle Autonomous Database 23ai:  
+Choose either a light-weight Virtual Machine or robust Oracle Kubernetes Engine deployment, both with an Oracle Autonomous Database:  
 [![Deploy to Oracle Cloud][magic_button]][magic_arch_stack]
 
 For more information, please visit the [IaC Documentation](https://oracle.github.io/ai-optimizer/advanced/iac/index.html).
diff --git a/docs/content/_index.md b/docs/content/_index.md
@@ -17,7 +17,7 @@ The {{< full_app_ref >}} provides a streamlined environment where developers and
 
 - **GenAI**: Powers the generation of text, images, or other data based on prompts using pre-trained **LLM**s.
 - **RAG**: Enhances **LLM**s by retrieving relevant, real-time information allowing models to provide up-to-date and accurate responses.
-- **Vector Database**: A database, including Oracle Database 23ai, that can natively store and manage vector embeddings and handle the unstructured data they describe, such as documents, images, video, or audio.
+- **Vector Database**: A database, including Oracle AI Database, that can natively store and manage vector embeddings and handle the unstructured data they describe, such as documents, images, video, or audio.
 
 ## Features
 
@@ -40,7 +40,7 @@ The [Walkthrough](walkthrough) is a great way to familiarize yourself with the *
 
 ## Prerequisites
 
-- Oracle Database 23ai incl. Oracle Database 23ai Free
+- Oracle AI Database incl. Oracle AI Database Free
 - Python 3.11 (for running Bare-Metal)
 - Container Runtime e.g. docker/podman (for running in a Container)
 - Access to an Embedding and Chat Model:
diff --git a/docs/content/advanced/helm.md b/docs/content/advanced/helm.md
@@ -146,7 +146,7 @@ A containerized Autonomous Oracle Database:
     type: "ADB-FREE"
     image:
       repository: container-registry.oracle.com/database/adb-free
-      tag: latest-23ai
+      tag: latest
 ```
 
 **ADB-S**
diff --git a/docs/content/client/_index.md b/docs/content/client/_index.md
@@ -15,7 +15,7 @@ The {{< full_app_ref >}} consists of an API Server ([**ai-optimizer-server**](#a
 ![Architecture Overview](images/arch_overview.png)
 
 The following additional components, not delivered with the {{< short_app_ref >}}, are also required.  These can be run On-Premises or in the Cloud:
-- [Oracle Database 23ai](#database), including [Oracle Database 23ai **Free**](https://www.oracle.com/uk/database/free/)
+- [Oracle AI Database](#database), including [Oracle AI Database **Free**](https://www.oracle.com/database/free)
 - Access to at least one [Large Language Model](#large-language-model)
 - Access to at least one [Embedding Model](#embedding-model) (for Retrieval Augmented Generation)
 
@@ -45,7 +45,7 @@ You can develop and replace the provided client with any REST capable client.
 
 ## Database
 
-[Oracle Database 23ai](https://www.oracle.com/uk/database/23ai/), including [Oracle Database 23ai **Free**](https://www.oracle.com/uk/database/free/) provides a persistent data store for the {{< short_app_ref >}}.  
+[Oracle AI Database](https://www.oracle.com/database), including [Oracle AI Database **Free**](https://www.oracle.com/database/free) provides a persistent data store for the {{< short_app_ref >}}.  
 
 ![Database](./images/vector_storage.png)
 
@@ -54,7 +54,7 @@ You can develop and replace the provided client with any REST capable client.
 The **AI Optimizer** can be used to interact with language models without having the database configured, but additional functionality such as RAG, will not be available without the database.
 {{% /notice %}}
 
-The 23ai database provides:
+Oracle AI Database provides:
 
 - the Vector Store for split and embedded documents used for Retrieval Augmented Generation (RAG).
 - storage for the [Testbed](testbed) Q&A Test Sets and Evaluations
diff --git a/docs/content/client/configuration/_index.md b/docs/content/client/configuration/_index.md
@@ -25,7 +25,7 @@ For more information on the currently supported models and how to configure them
 
 ## 🗄️ Database Configuration
 
-A 23ai Oracle Database is required to store the embedding vectors to enable Retrieval-Augmented Generation (RAG). The ChatBot can be used without a configured database, but you will be unable to split/embed or experiment with RAG in the ChatBot.
+Oracle AI Database is required to store the embedding vectors to enable Retrieval-Augmented Generation (RAG). The ChatBot can be used without a configured database, but you will be unable to split/embed or experiment with RAG in the ChatBot.
 
 For more information on configuring the database, please read about [Database Configuration](db_config/).
 
diff --git a/docs/content/client/configuration/db_config.md b/docs/content/client/configuration/db_config.md
@@ -10,7 +10,7 @@ Licensed under the Universal Permissive License v1.0 as shown at http://oss.orac
 spell-checker: ignore tablespace mycomplexsecret mycomplexwalletsecret 
 -->
 
-To use the Retrieval-Augmented Generation (RAG) functionality of the {{< short_app_ref >}}, you will need to setup/enable an [embedding model](../model_config) and have access to an **Oracle Database 23ai**. Both the [Always Free Oracle Autonomous Database Serverless (ADB-S)](https://docs.oracle.com/en/cloud/paas/autonomous-database/serverless/adbsb/autonomous-always-free.html) and the [Oracle Database 23ai Free](https://www.oracle.com/uk/database/free/get-started/) are supported. They are a great, no-cost, way to get up and running quickly.
+To use the Retrieval-Augmented Generation (RAG) functionality of the {{< short_app_ref >}}, you will need to setup/enable an [embedding model](../model_config) and have access to an **Oracle AI Database**. Both the [Always Free Oracle Autonomous Database Serverless (ADB-S)](https://docs.oracle.com/en/cloud/paas/autonomous-database/serverless/adbsb/autonomous-always-free.html) and the [Oracle AI Database Free](https://www.oracle.com/database/free/get-started/) are supported. They are a great, no-cost, way to get up and running quickly.
 
 ## Configuration
 
diff --git a/docs/content/walkthrough/_index.md b/docs/content/walkthrough/_index.md
@@ -11,7 +11,7 @@ Licensed under the Universal Permissive License v1.0 as shown at http://oss.orac
 spell-checker: ignore mxbai, ollama, sqlplus, sysdba, spfile, freepdb, tablespace, firewalld, hnsw
 -->
 
-This walkthrough will guide you through a basic installation of the {{< full_app_ref >}}. It will allow you to experiment with GenAI, using Retrieval-Augmented Generation (**RAG**) with Oracle Database 23ai at the core.
+This walkthrough will guide you through a basic installation of the {{< full_app_ref >}}. It will allow you to experiment with GenAI, using Retrieval-Augmented Generation (**RAG**) with the Oracle AI Database at the core.
 
 By the end of the walkthrough you will be familiar with:
 
@@ -50,7 +50,7 @@ You will run four container images to establish the "Infrastructure":
 
 - On-Premises **LLM** - llama3.1
 - On-Premises Embedding Model - mxbai-embed-large
-- Vector Storage/SelectAI - Oracle Database 23ai Free
+- Vector Storage/SelectAI - Oracle AI Database Free
 - The {{< short_app_ref >}}
 
 ### LLM - llama3.1
@@ -158,11 +158,11 @@ The {{< short_app_ref >}} provides an easy to use front-end for experimenting wi
    podman run -d --name ai-optimizer-aio --network=host localhost/ai-optimizer-aio:latest
    ```
 
-### Vector Storage - Oracle Database 23ai Free
+### Vector Storage - Oracle AI Database Free
 
-AI Vector Search in Oracle Database 23ai provides the ability to store and query private business data using a natural language interface. The {{< short_app_ref >}} uses these capabilities to provide more accurate and relevant **LLM** responses via Retrieval-Augmented Generation (**RAG**). [Oracle Database 23ai Free](https://www.oracle.com/uk/database/free/get-started/) provides an ideal, no-cost vector store for this walkthrough.
+AI Vector Search in Oracle AI Database provides the ability to store and query private business data using a natural language interface. The {{< short_app_ref >}} uses these capabilities to provide more accurate and relevant **LLM** responses via Retrieval-Augmented Generation (**RAG**). [Oracle AI Database Free](https://www.oracle.com/database/free/get-started/) provides an ideal, no-cost vector store for this walkthrough.
 
-To start Oracle Database 23ai Free:
+To start the Oracle AI Database Free:
 
 1. Start the container:
 
@@ -259,7 +259,7 @@ To configure the On-Premises Embedding Model, navigate back to the _Configuratio
 
 ### Configure the Database
 
-To configure Oracle Database 23ai Free, navigate to the _Configuration_ screen and _Databases_ tab:
+To configure Oracle AI Database Free, navigate to the _Configuration_ screen and _Databases_ tab:
 
 1. Enter the Database Username: `WALKTHROUGH`
 1. Enter the Database Password for the database user: `OrA_41_OpTIMIZER`
@@ -304,7 +304,7 @@ After the splitting and embedding process completes, you can query the Vector St
 
 From the command line:
 
-1. Connect to the Oracle Database 23ai Database:
+1. Connect to the Oracle AI Database:
 
    ```bash
    podman exec -it ai-optimizer-db sqlplus 'WALKTHROUGH/OrA_41_OpTIMIZER@FREEPDB1'
@@ -326,12 +326,12 @@ For this guided experiment, perform the following:
 
 1. Ask the _ChatBot_:
    ```text
-   In Oracle Database 23ai, how do I use AHF?
+   In Oracle AI Database, how do I use AHF?
    ```
 
 Responses may vary, but generally the _ChatBot_'s response will be inaccurate, including:
 
-- Not understanding that 23ai is an Oracle Database release. This is known as knowledge-cutoff.
+- Not understanding that there is a Oracle AI Database release. This is known as knowledge-cutoff.
 - Suggestions that AFH has to do with a non-existant Hybrid Feature and running `emcli` commands. These are hallucinations.
 
 Now select "Vector Search" in the Toolkit options and simply ask: `Are you sure?`
diff --git a/helm/examples/values-kind-adb-free.yaml b/helm/examples/values-kind-adb-free.yaml
@@ -12,7 +12,7 @@ server:
     type: "ADB-FREE"
     image:
       repository: container-registry.oracle.com/database/adb-free
-      tag: latest-23ai
+      tag: latest
   # oci_config:
   #   fileSecretName: "oci-config-file"
 client:
diff --git a/opentofu/variables.tf b/opentofu/variables.tf
@@ -84,10 +84,10 @@ variable "infrastructure" {
 variable "adb_version" {
   description = "Autonomous Database Version"
   type        = string
-  default     = "23ai"
+  default     = "26ai"
   validation {
-    condition     = contains(["23ai"], var.adb_version)
-    error_message = "Must be 23ai."
+    condition     = contains(["26ai"], var.adb_version)
+    error_message = "Must be 26ai."
   }
 }
 
diff --git a/src/server/wip/createRDFGraph.py b/src/server/wip/createRDFGraph.py
@@ -307,7 +307,7 @@ def create_semantic_relationships():
             (r"overview of oracle ai vector search", r"get started"),
             (r"why use oracle ai vector search", r"get started"),
             (r"get started", r"generate vector embeddings"),
-            (r"oracle database 23ai release updates", r"get started"),
+            (r"oracle ai database release updates", r"get started"),
             (r"conventions", r"overview of oracle ai vector search"),
             (r"preface", r"overview"),
             (r"introduction", r"get started"),

Original file line number	Diff line number	Diff line change
`@@ -84,10 +84,10 @@ variable "infrastructure" {`
`84`	`84`	`variable "adb_version" {`
`85`	`85`	`description = "Autonomous Database Version"`
`86`	`86`	`type = string`
`87`		`- default = "23ai"`
	`87`	`+ default = "26ai"`
`88`	`88`	`validation {`
`89`		`- condition = contains(["23ai"], var.adb_version)`
`90`		`- error_message = "Must be 23ai."`
	`89`	`+ condition = contains(["26ai"], var.adb_version)`
	`90`	`+ error_message = "Must be 26ai."`
`91`	`91`	`}`
`92`	`92`	`}`
`93`	`93`