Fully managed multimodal RAG-as-a-Service, reducing development complexity.
Supports a wide range of data types including text, PDFs, images, audio, video, and presentations.
Offers advanced indexing and retrieval features such as multi-layered indexing, summary indexing, and hybrid semantic and keyword search.
Seamless integration with popular data sources like Google Drive, Notion, and Confluence.
Enterprise-ready with features like SOC2-compliant security, scalable architecture, and multi-tenant support.
Developer-friendly with SDKs for Python, TypeScript, and REST APIs.
Open-source tools available to build, test, and scale RAG workflows.
Automatic syncing to keep the data up to date.