- Introdução
- Segurança de dados e conformidade
- Organizações
- Autenticação e segurança
- Licenciamento
- Ativar sua licença Enterprise
- Fazendo o upgrade e downgrade de licenças
- Solicitando uma Avaliação de Serviço
- Atribuição de Licenças a Tenants
- Atribuição de licenças aos usuários
- Desalocando licenças de usuário
- Monitoring license allocation
- Atribuição excessiva de licenças
- Notificações de licenciamento
- Gerenciamento de Licenças de Usuário
- Tenants e serviços
- Contas e funções
- AI Trust Layer
- Sobre a Camada de Confiança da IA
- Gerenciando a AI Trust Layer
- Melhores práticas
- Padrões de embasamento de contexto comum
- Notificações
- Perguntas frequentes
- Aplicativos Externos
- Notificações
- Geração de logs
- Solução de problemas
- Migração para a Automation Cloud™
Padrões de embasamento de contexto comum
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.
Pesquisando nos 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.
Pesquisando 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.
Isso significa que você pode usar a Embasamento de Contexto 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.
