WMS ID 11661: Prepared for CWT (#748)

* Submited : Create a Large Language Model (LLM) chatbot using Oracle Database 23ai and Generative AI Service.

* Name adjustements

* Folder rename

* Deleted old folder

* Fixed some bugs

* Added the Livelabs version of the workshop

* Fixed some bugs

* Changed to the new LiveLab image + switched model to cohere.command-r-plus

* Updates for the new LiveLabs image

* Fixed image name

* Fixed some prerequisites

* Corrected Liana's job role

* Fixed some conditional inclusions

* Created the ocw24 version of the lab

* Fixed some typos + disclaimers

* Fixed index.html + duplicated names

* Fixed some OCW24 bugs

* Using ATP instead of local DB

* Bug fixing + adding credentials

* Blured personal information

* Hide logos in screenshots

* Small bugfix

* Added the CWT API key and instructions

---------

Co-authored-by: Bogdan Farca <[email protected]>

ai-chatbot-engine/search+llm/cw-key.md

@@ -0,0 +1 @@
+This is the link to the GenerativeAI API key: https://objectstorage.eu-frankfurt-1.oraclecloud.com/p/sCxNUExb6_eLVYNxc1Waef-KLO6nSmchNG56nK_xBAkktsX-DiUMa6Xp-RbdW3aR/n/fr1wb0c6sbky/b/bucket-20250115-1555/o/oci-files.zip

ai-chatbot-engine/search+llm/search+llm.md

@@ -204,26 +204,21 @@ In a Retrieval-Augmented Generation (RAG) application, the prompt given to a Lar
 
 In this case, the credentials needed to access the OCI GenAI Service are provided for you. Click on the link below and download the zip file.
 
-[Get Your OCI GenAI key](https://objectstorage.us-ashburn-1.oraclecloud.com/p/75QkYvgn8zNo7vSaI8M4k5GGvs62bRQzeHPQFCxoQQZD1nwD5sl8oDyWjkBvAScE/n/c4u04/b/OCW2024/o/api/tut3008.zip)
+[Get Your OCI GenAI key](https://objectstorage.eu-frankfurt-1.oraclecloud.com/p/sCxNUExb6_eLVYNxc1Waef-KLO6nSmchNG56nK_xBAkktsX-DiUMa6Xp-RbdW3aR/n/fr1wb0c6sbky/b/bucket-20250115-1555/o/oci-files.zip)
 
-Unzip the downloaded file and copy the text file and non-public pem file to your JupyterLab window.
-Rename the text file to `config` (no extension).
-
-Double-click to open it in Jupyter. It will look like this:
+Unzip the downloaded file and copy the `config` file and non-public pem file to your JupyterLab window.
+Open the `config` file in Jupyter. It will look like this:
 ```
 [DEFAULT]
 user=ocid1.user.oc1..zzzzzzzzzzzzz
 fingerprint=80:2a:84:00:29:2d:ec:04:8b:ee:xxxx
 tenancy=ocid1.tenancy.oc1..yyyyyyyyyyyy
 region=us-chicago-1
 key_file=<path to your private keyfile> # TODO
-
-Compartment ocid = ocid1.compartment.oc1..xxxxxxxx
 ```
-Make note of your compartment ocid and delete that line (the last one in the file). You will need it in point 2 below.
-
 Enter the path and name of your private key at the end of the `key_file` line.
 
+The compartment id (needed later in this tutorial) is stored in the `compartment-id.txt` file.
 
 > Note: The details in paragraph 1 below are provided for your information only. It is safe to skip to point 2.
 </if>

ai-chatbot-engine/workshops/ocw24/manifest.json

@@ -33,7 +33,7 @@
         },
         {
             "title": "Your OCI GenAI key",
-            "filename": "https://oracle-livelabs.github.io/common/labs/ocw24/tut3008.md"
+            "filename": "../../search+llm/cw-key.md"
         },
         {
             "title": "Need Help?",