Skill UI

This guide demonstrates the fundamental CRUD (Create, Read, Update, Query) operations within Veeva Vault using Python. It leverages the Veeva REST API and incorporates VQL (Vault Query Language) for advanced metadata querying. This skill is essential for developers integrating document management systems in the life sciences sector.

This guide details how to perform authentication and data operations with the Veeva Vault platform using its REST API. It covers obtaining session IDs via username/password or OAuth 2.0, and executing complex queries using VQL (Veeva Query Language). Ideal for developers integrating document management systems in the life sciences sector.

This guide provides comprehensive documentation and best practices for interacting with the Veeva Vault platform. It covers REST API usage, writing effective VQL (Vault Query Language) queries, and utilizing the VAPIL Java SDK. It also details common error handling procedures and addresses rate limit guidance for developers working in life sciences and CRM environments.

This guide provides comprehensive reference architecture for integrating with Veeva Vault, covering REST APIs, VQL query language, and VAPIL Java SDK. It details key concepts like authentication, common data patterns, and error handling, making it essential for developers working on life sciences or CRM solutions built on the Vault platform.

This catalog provides core API abstractions for managing language data within the webiny ecosystem. It defines standardized, type-safe use cases for common language operations, such as retrieving a single language entry by its unique code (GetLanguageByCodeUseCase) and listing all available language entries (ListLanguagesUseCase). Developers should utilize these pre-built patterns to ensure consistent, robust, and modular language handling across the application.