Update TechnicalArchitecture.md

Author: toherman-msft

docs/TechnicalArchitecture.md

@@ -2,7 +2,7 @@
 
 Additional details about the technical architecture of the Content Processing solution accelerator. This describes the purpose and additional context of each component in the solution.
 
-![image](./images/ReadMe/solution-architecture.png)
+![image](./images/readme/solution-architecture.png)
 
 
 ### Ingress Controller
@@ -36,4 +36,4 @@ Using Azure OpenAI Service, a deployment of the GPT-4o 2024-10-01-preview model
 Using Azure Blob Storage, schema .py files, source files for processing, and final output JSON files are stored in blob storage.
 
 ### Azure Cosmos DB for MongoDB
-Using Azure Cosmos DB for MongoDB, files that have been submitted for processing are added to the DB and their processing step history is saved. The processing queue stores individual processes information and history for status and processing step review, along with final extraction and transformation into JSON for its selected schema.
+Using Azure Cosmos DB for MongoDB, files that have been submitted for processing are added to the DB and their processing step history is saved. The processing queue stores individual processes information and history for status and processing step review, along with final extraction and transformation into JSON for its selected schema.