updated arch diagram and description

Author: rajavaid77

20-Industry-Use-Cases/22-Medical-Claims-Processing/22_medical_claims_processing.ipynb

@@ -34,9 +34,10 @@
    "id": "a7f3f1e9-684e-428d-9598-a018da023dfc",
    "metadata": {},
    "source": [
-    "The architecture for the solution is shown below. The process begins with a Medical Claim Form (CMS 1500) received from a medical provider -\n",
+    "\n",
     "\n",
     "### Claim Review Process\n",
+    "The architecture for the claim review solution is shown below. The process begins with a Medical Claim Form (CMS 1500) received from a medical provider -\n",
     "\n",
     "- **Step 1:** Medical provider submits the claim, which is stored in an S3 bucket.\n",
     "\n",
@@ -54,8 +55,8 @@
     "- **Step 13:** Bedrock Agent create a final report to detail the validation process and stores the report in S3\n",
     "\n",
     "\n",
-    "### Claim Policy Knowledge Ingestion Process\n",
-    "The Knowledge Base is used for Retrieval Augmented Generation (RAG), a technique that uses information from data sources to improve the relevancy and accuracy of generated responses. In this example, the knowledge base converts claim policy documents in pdf format into vector embeddings and stored in a vector store (Amazon Opensearch serverless vector index). This process of converting the data into vector embeddings is called ingestion. The Ingestion process is carried out to make the knowledge base ready to be queried by the agent (or humans). \n",
+    "### Claim Policy Knowledge Base Ingestion Process\n",
+    "The Bedrock Knowledge Base is used for Retrieval Augmented Generation (RAG), a technique that uses information from data sources to improve the relevancy and accuracy of generated responses. In this example, the knowledge base converts claim policy documents in pdf format into vector embeddings and stores them in a vector store (Amazon Opensearch serverless vector index). This process of converting the data into vector embeddings is called ingestion. The Ingestion process is carried out to make the knowledge base ready to be queried by the agent (or humans). \n",
     "\n",
     "[More details on the Ingestion process](https://docs.aws.amazon.com/bedrock/latest/userguide/kb-how-data.html)\n",
     "\n",