Setup Environment
Setting up the development environment, which includes creating an Azure account, setting up Azure Search service, and getting access to OpenAI API.
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Data Ingestion and Indexing
Define the data source ( Azure Blob storage) and create an indexing pipeline to ingest and index data. Define a suitable schema for the data, which represents the structure of your data in Azure Search.
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Integration with OpenAI API
Set up the OpenAI API to leverage the GPT model. This includes getting the appropriate API key and ensuring the project can successfully make requests to the API.
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Query Processing
Develop the logic to process user queries. This would involve receiving user inputs, sending the input to the OpenAI API for processing, receiving the processed input back, and then using this processed input to perform a search operation on the Azure Search index.
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Search Results Retrieval
Define the logic to retrieve and present the search results from Azure Search service based on the processed input.
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UI/UX Development
Create interface for users to input their queries in natural language and to display the search results.
**UI/UX Design will no cover in thise SOW
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Testing
Conduct thorough testing of the system to ensure all components are working as expected. This includes unit tests, integration tests, and end-to-end tests
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Deployment
Azure services will be implement with

1. **Azure Cognitive Search**: This is the core service for this project. Azure Cognitive Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over private, heterogenous content in web, mobile, and enterprise applications.

2. **Azure Blob Storage**: This could be used for storing and retrieving large amounts of unstructured data, such as documents or media files. If you plan to use a large dataset for your search index, Azure Blob Storage would be ideal for this purpose.

3. **Azure Functions**: These can be used to create serverless applications that can handle integration between OpenAI API and Azure Cognitive Search. Azure Functions can be triggered by events, making it suitable for handling real-time processing and transformations.

4. **Azure App Service**: This is a fully managed platform for building, deploying, and scaling web apps. You can host your front-end application here.

5. **Azure Cognitive Services (Language Service)**: These services could be useful for additional natural language processing capabilities, text analytics, sentiment analysis, etc.

6. **Azure Key Vault**: This service could be used for securely storing and managing sensitive information like OpenAI API key, Azure Search keys, etc.

7. **Azure Active Directory**: For adding secure login for your application.

8. **Azure DevOps**: This service provides developer services for support with planning work, collaborating on code development, and building and deploying applications.

9. **Azure Monitor**: This service can be used to collect, analyze, and act on telemetry data from your Azure and on-premises environments. It helps to understand how your applications are performing and proactively identifies issues affecting them and the resources they depend on.
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*Remarks: The actual services required may vary based on your exact use case, application architecture, and specific requirements. Be sure to assess each service for its appropriateness to your needs.