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Leverage Amazon Knowledge Base as a vector store alternative to enhance your Retool AI apps. Securely store and retrieve relevant information to improve AI responses and create more contextual apps.
Retool connects to Amazon Knowledge Base using secure AWS credentials stored as encrypted Retool resources. Once configured, teams can query knowledge bases directly within Retool apps and workflows to retrieve relevant context for AI responses.
Teams explicitly configure which knowledge base and query parameters are used in each Retool query. Retool never retrieves data implicitly—only the retrieval you configure is executed.
Yes. Retool's role-based access controls allow admins to limit which users or groups can create, edit, or run queries against Amazon Knowledge Base resources.
AWS credentials for Amazon Knowledge Base are stored as encrypted Retool resources and are never exposed to end users. Access is governed through Retool's permission model.
Yes. Retool supports environment-specific configurations, allowing teams to point development, staging, and production environments at different Amazon Knowledge Base deployments.
Retool queries Amazon Knowledge Base's retrieval APIs to fetch relevant passages or documents, then passes that retrieved context to a language model—enabling Retrieval-Augmented Generation workflows grounded in content stored and managed within AWS.