- Primeros pasos
- Seguridad y cumplimiento de los datos
- Organizaciones
- Autenticación y seguridad
- Licencia
- Activar su licencia Enterprise
- Actualización y desactualización de licencias
- Solicitar una prueba de servicio
- Asignar licencias a tenants
- Asignación de licencias de usuario
- Anular la asignación de licencias de usuarios
- Monitoring license allocation
- Licencias con exceso de asignación
- Notificaciones de licencias
- Administración de licencias de usuario
- Tenants y servicios
- Cuentas y roles
- Ai Trust Layer
- Acerca de la capa de confianza de IA
- Gestionar la capa de confianza de IA
- Mejores prácticas
- Patrones de puesta a tierra de contexto común
- Notificaciones
- Preguntas frecuentes
- Aplicaciones externas
- Notificaciones
- Registro
- Solución de problemas
- Migrar a Automation Cloud™
Patrones de puesta a tierra de contexto común
The core components of Context Grounding are designed to provide a mechanism that supports finding pertinent information within and across documents, and surfacing only the most relevant pieces needed for a high-quality, low-latency generation from an LLM.
Buscar dentro de los documentos
The Context Grounding service helps you find specific information within a single document more effectively. Instead of just matching keywords, it understands the meaning and context of your search query. For example, if you're looking for information about "apple pie recipes" in a cookbook, it would understand that you're interested in desserts and baking, not technology or fruit farming.
Buscar en documentos
Context Grounding helps you find information spread across multiple documents. It can understand the relationships between different pieces of information and provide more relevant results. For example, if you're researching "climate change effects on agriculture" across various scientific papers, it pulls together relevant information from multiple sources, understanding that topics like rainfall patterns, crop yields, and temperature changes are all related to your query.
Esto significa que puedes utilizar Context Grounding para:
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Data extraction and comparison: Context Grounding can automatically identify and extract specific types of information from documents, then compare them in meaningful ways. Imagine you have a stack of résumés and want to compare candidates' work experiences. The service could extract job titles, durations, and responsibilities, then present them in a way that makes comparison easy, even if the information is formatted differently in each résumé.
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Summarization: Context Grounding can create summaries of long documents or multiple related documents. It doesn't pick out random sentences, but understands the key points and overall message. For example, if you have a long report on market trends, the service can provide a summary highlighting the main findings, key statistics, and overall conclusions.
