Ragie

What is Ragie?

Ragie is a fully managed RAG-as-a-Service (Retrieval-Augmented Generation) built for developers to streamline the ingestion, chunking, and multimodal indexing of structured and unstructured data. It offers simple APIs and SDKs, seamless integration with data sources like Google Drive, Notion, and Confluence, and built-in advanced features like summary indexing, chunk reranking, and flexible vector filtering to help applications deliver state-of-the-art generative AI.

How to use Ragie?

Use Ragie Connect to connect your application to user data via pre-built integrations. Ragie offers simple APIs for file uploads or direct connections to popular sources like Google Drive, Notion, and Confluence. Use the retrieval API to get relevant chunks for semantic search queries.

Ragie’s Core Features

Data ingestion and chunking Multimodal indexing Pre-built connectors for data sources Advanced retrieval features (re-ranking, summary index, entity extraction, hybrid search) Automatic syncing Easy-to-use APIs and SDKs

Ragie’s Use Cases

• Building internal chatbots
• Developing enterprise SaaS products
• Creating applications requiring context-rich AI capabilities