feat: PostgreSQL implementation for Chat History and Vectorization

.env.sample

@@ -36,12 +36,9 @@ AzureWebJobsStorage=
 BACKEND_URL=http://localhost:7071
 DOCUMENT_PROCESSING_QUEUE_NAME=
 # Azure Blob Storage for storing the original documents to be processed
-AZURE_BLOB_ACCOUNT_NAME=
-AZURE_BLOB_ACCOUNT_KEY=
-AZURE_BLOB_CONTAINER_NAME=
+AZURE_BLOB_STORAGE_INFO="{\"containerName\":\"documents\",\"accountName\":\"\",\"accountKey\":\"\"}"
 # Azure Form Recognizer for extracting the text from the documents
-AZURE_FORM_RECOGNIZER_ENDPOINT=
-AZURE_FORM_RECOGNIZER_KEY=
+AZURE_FORM_RECOGNIZER_INFO="{\"endpoint\":\"\",\"key\":\"\"}"
 # Azure AI Content Safety for filtering out the inappropriate questions or answers
 AZURE_CONTENT_SAFETY_ENDPOINT=
 AZURE_CONTENT_SAFETY_KEY=
@@ -66,3 +63,5 @@ CONVERSATION_FLOW=
 AZURE_COSMOSDB_INFO="{\"accountName\":\"cosmos-abc123\",\"databaseName\":\"db_conversation_history\",\"containerName\":\"conversations\"}"
 AZURE_COSMOSDB_ACCOUNT_KEY=
 AZURE_COSMOSDB_ENABLE_FEEDBACK=
+AZURE_POSTGRESQL_INFO="{\"user\":\"\",\"dbname\":\"postgres\",\"host\":\"\"}"
+DATABASE_TYPE="CosmosDB"

README.md

@@ -48,7 +48,7 @@ urlFragment: chat-with-your-data-solution-accelerator
 ## User story
 Welcome to the *Chat with your data* Solution accelerator repository! The *Chat with your data* Solution accelerator is a powerful tool that combines the capabilities of Azure AI Search and Large Language Models (LLMs) to create a conversational search experience. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including [speech-to-text](docs/speech_to_text.md) functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. Everything can be deployed in your own subscription to accelerate your use of this technology.
 
-![Solution Architecture - Chat with your data](/docs/images/cwyd-solution-architecture.png)
+
 
 ### About this repo
 
@@ -93,10 +93,25 @@ Here is a comparison table with a few features offered by Azure, an available Gi
 - **Easy access to source documentation when querying**: Review referenced documents in the same chat window for additional context.
 - **Data upload**: Batch upload documents of [various file types](docs/supported_file_types.md)
 - **Accessible orchestration**: Prompt and document configuration (prompt engineering, document processing, and data retrieval)
+- **Database flexibility**: Dynamic database switching allows users to choose between PostgreSQL and Cosmos DB based on their requirements. If no preference is specified the platform defaults to PostgreSQL.
 
 
 **Note**: The current model allows users to ask questions about unstructured data, such as PDF, text, and docx files. See the [supported file types](docs/supported_file_types.md).
 
+
+
+
+### Cosmos DB vs PostgreSQL
+This solution accelerator can be deployed with PostgreSQL or Cosmos DB. Both options enable chat history and have other similar features, see features table below. When choosing between which technology to deploy with, considering the following: scalability, data model flexibility, query language, security, and pricing
+
+One important consideration when deciding which option is best for you: Cosmos DB can be used to enable chat history, while PostgeSQL can be leveraged for data indexing as well as chat history. Review the relevant configuration documentation and architectures for both respective options below.
+
+To review Cosmos DB configuration overview and configuration steps [here](docs/employee_assistance.md).
+![Solution Architecture - Chat with your data CosmosDB](/docs/images/architecture_cdb.png)
+
+To review PostgreSQL configuration overview and steps, follow the link [here](docs/postgreSQL.md).
+![Solution Architecture - Chat with your data PostgreSQL](/docs/images/architrecture_pg.png)
+
 ### Target end users
 Company personnel (employees, executives) looking to research against internal unstructured company data would leverage this accelerator using natural language to find what they need quickly.
 
@@ -146,6 +161,7 @@ In this scenario, a newly hired employee is in the process of onboarding to thei
 - Azure Storage Account
 - Azure Speech Service
 - Azure CosmosDB
+- Azure PostgreSQL
 - Teams (optional: Teams extension only)
 
 ### Required licenses
@@ -169,7 +185,7 @@ There are two choices; the "Deploy to Azure" offers a one click deployment where
 
 The demo, which uses containers pre-built from the main branch is available by clicking this button:
 
-[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure-Samples%2Fchat-with-your-data-solution-accelerator%2Fmain%2Finfra%2Fmain.json)
+[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FFr4nc3%2Fchat-with-your-data-solution-accelerator%2Frefs%2Fheads%2Fmain%2Finfra%2Fmain.json)
 
 When Deployment is complete, follow steps in [Set Up Authentication in Azure App Service](./docs/azure_app_service_auth_setup.md) to add app authentication to your web app running on Azure App Service
 
@@ -197,7 +213,11 @@ switch to a lower version. To find out which versions are supported in different
 
 \
 \
+
+
+
 ![Supporting documentation](/docs/images/supportingDocuments.png)
+
 ## Supporting documentation
 
 ### Resource links