GenAI Data Grounding EN

Cleverit

Integrate real data into generative AI applications to achieve more accurate and relevant results. GenAI Data Grounding by CleverIT: A comprehensive, multi-industry solution.

GenAI Data Grounding by CleverIT is a comprehensive, multi-industry solution that helps you develop AI applications with more precise and business-oriented information.

Scope:

Development of a custom frontend for user interaction. Development of a backend that integrates data from APIs, databases, and OpenAI. Implementation of prompt engineering best practices to avoid vulnerabilities. Integration with Azure services such as App Service and Azure OpenAI Service. Utilization of client-provided data sources. Integrations:

Relational and non-relational databases (SQL Server, MySQL, PostgreSQL, Oracle Database, MongoDB, Cassandra, Couchbase, Redis, CosmoDB). Web service APIs (RESTful). Benefits:

Improved Accuracy: AI application responses and decisions are based on precise and up-to-date data, enhancing relevance and utility. Operational Efficiency: Automates data integration and processing, reducing manual workload and improving efficiency. Scalability: The solution can scale according to business needs, adapting to increasing data volumes and changing requirements. Deliverables:

Documentation on deployed services and components in Azure. Documentation on the created solution and its repositories. Solution architecture diagram. Best practices documentation for monitoring and operating the solution. Recordings of training sessions for end users. Implementation Roadmap:

Stage 1: Initiation and Planning (2 weeks)

Definition of project objectives and scope. Identification of stakeholders. Selection of data sources. Stage 2: Environment and Resource Setup (3 weeks)

Obtaining permissions in Azure. Creation of code repositories. Stage 3: Design and Development (8 weeks)

UX design for the project. Backend and frontend development. Stage 4: Integration and Testing (2 weeks)

System integration. Functionality testing and adjustments. Stage 5: Deployment and Operation (2 weeks)

Production deployment. Initial monitoring and user training. Team:

Senior Project Manager Senior Frontend Developer Senior Backend Developer SSR-SR Cloud Engineer SSR-SR UX Designer SSR-SR QA (manual) SSR-SR Scrum Master

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