WMS 12034: Ai Vector Search on Laptop - cosmetic

vector-search-on-laptop/lab1-install-database/lab1-install-database.md

@@ -216,7 +216,7 @@ Instead of installing Python libraries directly on your laptop, you will run all
 
 * [Oracle Database Free Container Image](https://container-registry.oracle.com)
 * [Podman Documentation](https://docs.podman.io)
-* [Oracle AI Vector Search Overview](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/overview-ai-vector-search.html)
+* [Oracle AI Vector Search Overview](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/overview-ai-vector-search.html)
 
 ## Acknowledgements
 * **Author** - Oracle LiveLabs Team

vector-search-on-laptop/lab2-connect-python/lab2-connect-python.md

@@ -164,7 +164,7 @@ This single pattern works for every lab. You edit files locally with your prefer
 ## Learn More
 
 * [python-oracledb Documentation](https://python-oracledb.readthedocs.io/)
-* [Oracle Database 23ai Vector Search](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/)
+* [Oracle Database 23ai Vector Search](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/)
 
 ## Acknowledgements
 * **Author** - Oracle LiveLabs Team

vector-search-on-laptop/lab3-load-onnx/lab3-load-onnx.md

@@ -297,9 +297,9 @@ The ONNX model is stored in `~/hero/models/` on your laptop. Oracle Database nee
 
 ## Learn More
 
-* [DBMS_VECTOR.LOAD_ONNX_MODEL Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/dbms_vector-load_onnx_model.html)
-* [VECTOR_EMBEDDING Function](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/vector_embedding.html)
-* [Oracle Pre-built ONNX Models](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/import-onnx-models-oracle-database-end-end-example.html)
+* [DBMS_VECTOR.LOAD_ONNX_MODEL Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/dbms_vector-load_onnx_model.html)
+* [VECTOR_EMBEDDING Function](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/vector_embedding.html)
+* [Oracle Pre-built ONNX Models](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/import-onnx-models-oracle-database-end-end-example.html)
 
 ## Acknowledgements
 * **Author** - Oracle LiveLabs Team

vector-search-on-laptop/lab4-pdf-embeddings/lab4-pdf-embeddings.md

@@ -391,8 +391,8 @@ This lab assumes you have:
 ## Learn More
 
 * [VECTOR_CHUNKS Function Documentation](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/chunking-and-vector-generation-functions.html)
-* [VECTOR_DISTANCE Function](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/vector_distance.html)
-* [Oracle AI Vector Search Indexes](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/manage-different-categories-vector-indexes.html)
+* [VECTOR_DISTANCE Function](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/vector_distance.html)
+
 
 ## Acknowledgements
 * **Author** - Oracle LiveLabs Team

vector-search-on-laptop/lab5-flask-app/lab5-flask-app.md

@@ -317,7 +317,7 @@ This lab assumes you have:
     </copy>
     ```
 
-## Task 2: Create the HTML Templates
+## Task 2: Download the HTML Templates
 
 1. Download the templates into `~/hero/webapp/templates/`:
 
@@ -373,13 +373,60 @@ This lab assumes you have:
 
 7. To stop the Flask server, press **Ctrl+C** in the terminal running the server.
 
-    > **Note:** The Flask development server is for local testing only. For production deployments, use a WSGI server such as Gunicorn. To restart the server later without restarting the containers, simply run the same `podman exec -it python-runner python /workshop/webapp/app.py` command again.
+## Task 4: Container Maintenance
+
+Use these commands on your laptop to manage the containers created in earlier labs.
+
+### Stop the containers
+
+```bash
+<copy>podman stop python-runner oracle-ai-db</copy>
+```
+
+### Start the containers again
+
+```bash
+<copy>podman start oracle-ai-db python-runner</copy>
+```
+
+### Remove the containers
+
+> **Note:** Removing containers does not delete your images, but it will remove container state. If you want to keep your data, make sure you have a named volume or host mount.
+
+```bash
+<copy>podman rm -f python-runner oracle-ai-db</copy>
+```
+
+### Remove the network (optional)
+
+If you created a custom Podman network in earlier labs, remove it after stopping and removing the containers.
+
+```bash
+<copy>podman network ls</copy>
+```
+
+```bash
+<copy>podman network rm hero-net</copy>
+```
+
+### Remove the images (optional)
+
+List images and remove the ones you created for this workshop.
+
+```bash
+<copy>podman images</copy>
+```
+
+```bash
+<copy>podman rmi hero-python oracle-ai-db</copy>
+```
+
 
 ## Learn More
 
 * [Flask Documentation](https://flask.palletsprojects.com/)
-* [Oracle AI Vector Search - Similarity Search](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/perform-exact-similarity-search.html)
-* [Oracle Vector Indexes - HNSW](https://docs.oracle.com/en/database/oracle/oracle-database/23/vecse/manage-different-categories-vector-indexes.html)
+* [Oracle AI Vector Search - Similarity Search](https://docs.oracle.com/en/database/oracle/oracle-database/26/vecse/perform-exact-similarity-search.html)
+
 
 ## Acknowledgements
 * **Author** - Oracle LiveLabs Team