Ragie is a managed RAG service for developers to build generative AI applications.
What is Ragie?
Ragie is a fully managed RAG-as-a-Service solution designed for developers, aimed at simplifying the process of ingesting, segmenting, and creating multimodal indexes for both structured and unstructured data. It offers easy-to-use APIs and SDKs that enable seamless integration with data sources such as Google Drive, Notion, and Confluence. Additionally, it includes advanced features like summary indexing, re-ranking of segmented data, and flexible vector filtering capabilities, all of which help applications leverage the latest advancements in generative artificial intelligence.
How to use Ragie?
Use Ragie Connect to connect your application to user data, taking advantage of pre-built integration solutions. Ragie provides simple APIs for file uploading or direct access to popular data sources such as Google Drive, Notion, and Confluence. You can also use the retrieval API to obtain relevant content segments in response to semantic search queries.
The core features of Ragie
Data ingestion and segmentation
multimodal index
Pre-built connectors for data sources
Advanced search functions (re-ranking, abstract indexing, entity extraction, hybrid searching)
Automatic synchronization
Easy-to-use APIs and SDKs