Retool Vectors

Connect to Retool's vector database to store and process unstructured text from documents and web pages for AI apps. Create powerful AI-driven tools with built-in embeddings, one-click RAG implementation, and secure data handling. Perfect for teams building custom AI solutions that require business-specific knowledge bases.

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FAQs

Get answers to common Retool Vector questions

Retool Vectors is a native vector store within the Retool platform that stores embeddings alongside metadata. Teams can upsert vectors and run similarity searches directly from Retool apps and workflows without managing an external vector database.

Teams explicitly configure which data sources and fields are embedded and stored in Retool Vectors. Access to vector resources is governed by Retool's role-based permissions, ensuring only authorized users can index or query data.

Yes. Retool's role-based access controls allow admins to limit which users or groups can create, query, or manage Retool Vectors indexes within the platform.

Retool Vectors data is stored within Retool's managed infrastructure with the same encryption and access controls that apply to all Retool resources. Access is governed through Retool's permission model.

Yes. Retool supports environment-specific configurations, allowing teams to maintain separate Retool Vectors indexes for development, staging, and production.

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