Merge pull request #96 from koep/main

Fix typos to make the copy & paste experience more smooth

docs/demos/podman-ai-lab-to-rhoai/podman-ai-lab-to-rhoai.md

@@ -188,7 +188,7 @@ Now that the Elasticsearch operator has been deployed and an instance created, w
     
     **Note:** *If you have insufficient resources to start a medium container size then stop the workbench and change the workbench to start as a small container size.*
 
-7. Upload or import the ./notebooks/Langchain-ElasticSearchVector-ingest.ipynb notebook to your workbench.
+7. Upload or import the ./notebooks/Langchain-ElasticSearchVector-Ingest.ipynb notebook to your workbench.
 
     ![RHOAI Workbench Notebook](img/vector_ingest_notebook_upload.png)
 
@@ -469,4 +469,4 @@ We'll now update the chat recipe application that we created from Podman AI Lab
   *The notebook to ingest data into Elasticsearch and the Langchain code added to the chatbot app.*
 
 - [AI Accelerator](https://github.com/redhat-ai-services/ai-accelerator){:target="_blank"}
-  *The code used to deploy the various components on OpenShift and OpenShift AI.*
+  *The code used to deploy the various components on OpenShift and OpenShift AI.*

docs/tools-and-applications/apache-spark/apache-spark.md

@@ -19,5 +19,5 @@ It includes:
 - instructions to deploy the Spark history server to gather your processing logs,
 - instructions to deploy the Spark on Kubernetes operator,
 - Prometheus and Grafana configuration to monitor your data processing and operator in real time,
-- instructions to work without the operator, from a Notebook or a Terminal, inside or outside the OpenShit Cluster,
+- instructions to work without the operator, from a Notebook or a Terminal, inside or outside the OpenShift Cluster,
 - various examples to test your installation and the different methods.