Update LiveRAG_README.md

LiveRAG_README.md

@@ -7,7 +7,7 @@
   
 1. Setting up your AWS accounts\
   1.1 Accessing the AWS LiveRAG account - follow the instructions you received by email\
-  1.2 Applying your AWS credits to the team account - follow the instructions you received by email\
+  1.2 Applying your AWS credits to your team account - follow the instructions you received by email\
  **Remark:** Additional details are provided in [AWS Accounts instructions](Operational_Instructions/AWS_Accounts_for_LiveRAG.md)
 
 2. Setting your Pinecone account if you want to build your own dense index\
@@ -24,19 +24,20 @@
 ---
 ## 👣 LiveRAG Challenge Step-by-Step Guide
 
-1. Accessing DataMorgana and Falcon3-10B-Instruct via AI71-Platform\
-  1.1 Login to your [AI71-Platform account](https://platform.ai71.ai)\
-    1.1.1 Access the DataMorgana [Sandbox](https://platform.ai71.ai/playground) and [try it](Operational_Instructions/DM_Sandbox.md) to get your first Q&A\
-    1.1.2 Create your AI71-Platform [API key](https://platform.ai71.ai/api-keys)\
-  1.2 Use your AI71-Platform key for programatic access to DataMorgana bulk requests generation via its [API](Operational_Instructions/DM_API_usage_example.ipynb)\
-  1.3 Use your AI71-Platform key for programatic access to Falcon3-10B-Instruct (see [AI71 documentation](https://platform.ai71.ai/documentation))\
+1. Accessing or building your RAG indices\
+  You can use the pre-built indices, [Pinecone](https://www.pinecone.io/) and [OpenSearch](https://opensearch.org/) or build your own indices on top of the same of [FineWeb Sample-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb/viewer/sample-10BT) corpus\
+  1.1 To use the pre-built indices follow this [sample notebook](Operational_Instructions/Indices_Usage_Examples_for_LiveRAG.ipynb)\
+  1.2 To build your own **OpenSearch** index, create or use your existing AWS account and apply the provided AWS credits to save costs (see [here](Operational_Instructions/AWS_Accounts_for_LiveRAG.md))\
+  1.3 To build your own **Pinecone** index, create or use your existing Pinecone account and apply the provided Pinecone credits to save costs (see [here](Operational_Instructions/Pinecone_for_LiveRAG.md)) 
+
+2. Accessing DataMorgana and Falcon3-10B-Instruct via AI71-Platform\
+  2.1 Login to your [AI71-Platform account](https://platform.ai71.ai) after you followed the onboarding instructions\
+  2.2 Access the DataMorgana [Sandbox](https://platform.ai71.ai/playground) and [try it](Operational_Instructions/DM_Sandbox.md) to get your first Q&A\
+  2.3 Create your AI71-Platform [API key](https://platform.ai71.ai/api-keys) \
+    2.3.1 Use your AI71-Platform key for programatic access to DataMorgana bulk requests generation via its [API](Operational_Instructions/DM_API_usage_example.ipynb)\
+    2.3.2 Use your AI71-Platform key for programatic access to Falcon3-10B-Instruct (see [AI71 documentation](https://platform.ai71.ai/documentation))\
   **Remark:** Accessing Falcon via the AI71-Platform API is optional and recommended for a quick start. However, for a robust solution, suitable for the live event, it is recommended to set up your own Falcon3-10B-Instruct instance
 
-2. Using [Pinecone](https://www.pinecone.io/) and [OpenSearch](https://opensearch.org/) pre-built indices of [FineWeb Sample-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb/viewer/sample-10BT) and building your own indices\
-  2.1 To use the pre-built indices follow this [sample notebook](Operational_Instructions/Indices_Usage_Examples_for_LiveRAG.ipynb)\
-  2.2 To build your own **OpenSearch** index, create or use your existing AWS account and apply the provided AWS credits to save costs (see [here](Operational_Instructions/AWS_and_Pinecone_Accounts_for_LiveRAG.md))\
-  2.3 To build your own **Pinecone** index, create or use your existing Pinecone account and apply the provided Pinecone credits to save costs (see [here](Operational_Instructions/Pinecone_for_LiveRAG.md)) 
-   
 3. Building, training, and evaluating your RAG system\
   3.1 Use your AWS team account to build your RAG system using Falcon3-10B-Instruct\
   3.2 Build your own indices or use the pre-built Pinecone and OpenSearch indices\