Ragie

Ragie is a managed Retrieval-Augmented Generation (RAG) platform designed for developers to easily build advanced generative AI applications.

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About Ragie

Ragie is a fully managed RAG-as-a-Service platform that simplifies ingestion, chunking, and multimodal indexing of both structured and unstructured data. With user-friendly APIs and SDKs, seamless integration with data sources like Google Drive, Notion, and Confluence, plus advanced features such as summary indexing, reranking, and flexible vector filtering, Ragie empowers applications to deliver cutting-edge generative AI experiences.

How to Use

Connect your application to data sources using Ragie Connect's pre-built integrations. Upload files or establish direct connections to platforms like Google Drive, Notion, and Confluence via simple APIs. Use Ragie’s retrieval API to fetch relevant data chunks for semantic search and AI processing.

Features

Simplified data ingestion and chunking
Multimodal data indexing
Pre-built connectors for popular data sources
Automatic data synchronization
Intuitive APIs and SDKs for integration
Advanced retrieval options including reranking, summary indexing, and hybrid search

Use Cases

Developing enterprise SaaS solutions
Creating context-aware AI applications
Building internal chatbots
Implementing knowledge management systems
Enhancing customer support AI

Best For

Machine Learning EngineersData ScientistsSoftware DevelopersAI Innovators

Pros

Includes ready-to-use connectors for key data sources
Offers sophisticated retrieval enhancement features
Simplifies RAG pipeline development
Reduces development time and effort
Ensures data security and compliance

Cons

Cost considerations for high-volume usage
Dependent on third-party platform stability
May involve a learning curve for new users

FAQs

What is Ragie?

Ragie is a managed Retrieval-Augmented Generation platform that streamlines data ingestion, chunking, and multimodal indexing for structured and unstructured data. It offers easy APIs and SDKs, integrates with services like Google Drive, Notion, and Confluence, and includes features like summary indexing, reranking, and hybrid search to enable state-of-the-art AI applications.

Why choose Ragie for AI development?

Building production-ready RAG applications can be complex and time-consuming. Ragie simplifies this process by providing a fully managed service with seamless data integration, advanced retrieval features, and scalable infrastructure, saving you development time and reducing maintenance efforts.

Who benefits most from using Ragie?

Ragie is ideal for developers and teams building AI applications that rely on their own data. Whether developing internal chatbots, enterprise SaaS tools, or knowledge bases, Ragie accelerates deployment and ensures accurate, relevant AI outputs.

How does Ragie integrate with my data sources?

Ragie connects easily through pre-built integrations with platforms like Google Drive, Notion, and Confluence, using OAuth for secure access. It automatically syncs data, processes various formats, and embeds content into vectors for efficient retrieval and AI processing.

What makes Ragie better than other solutions?

Designed specifically for developers, Ragie offers easy-to-use APIs, SDKs, and direct integrations, enabling rapid deployment. Its advanced features like summary indexing and hybrid search allow you to focus on application development without managing complex infrastructure.

Is my data secure with Ragie?

Yes, Ragie employs AES-256 encryption for data at rest and TLS encryption for data in transit. The platform is compliant with CASA, GDPR, and CCPA standards, with SOC2 Type II certification coming soon. For more details, contact support@ragie.ai.

How is Ragie priced?

Ragie offers transparent pricing plans that accommodate different needs, including a free tier for initial development, a Starter plan for small projects, a Pro plan for production environments, and custom Enterprise options. Visit our Pricing page for detailed information.