Ragie

Ragie: The Fully Managed RAG-as-a-Service for AI Developers

What is Ragie?

Ragie is a fully managed RAG-as-a-Service (Retrieval Augmented Generation as a Service) platform designed to simplify the process of building AI applications that leverage your own data. It streamlines the ingestion, chunking, and multimodal indexing of structured and unstructured data, allowing developers to focus on building innovative applications rather than managing complex infrastructure.

How does Ragie work?

Ragie simplifies connecting your AI application to various data sources using simple APIs or direct connections to popular platforms like Google Drive and Notion. It automatically syncs data, ensuring applications have up-to-date and reliable information. Ragie supports multiple data formats, including video, audio, text, images, PDFs, and PowerPoint presentations.

Here’s a breakdown of the Ragie workflow:

1. Parsing: Normalizes inputs across formats like PDFs, DOCs, HTML, and media.
2. Extraction: Identifies key signals like entities, metadata, and boundaries.
3. Chunking: Segments content into logically grouped chunks.
4. Indexing: Builds vector, keyword, and summary indexes.
5. Retrieval: Combines multi-index recall with precision re-ranking.

Why should you use Ragie?

Building production-ready RAG applications can be challenging. Ragie offers a solution by managing the complexities of data source integration, data extraction, chunking, retrieval, and pipeline scaling. It allows developers to avoid time-consuming open-source frameworks and build more resilient applications.

Here's why Ragie stands out:

• Best-in-class indexing and retrieval: Ragie delivers fast, accurate, and context-rich retrieval through structured chunking, multi-layered indexing, and LLM-aware optimizations.
• Multimodal support: Now supporting native multimodal RAG for audio and video.
• Application ready: Seamlessly connect data to your application with Ragie connectors.

Who should use Ragie?

Ragie is ideal for developers building AI applications that require accurate and relevant outputs using their own data. This includes internal chatbots, enterprise SaaS products, and any application needing context-rich AI. Ragie accelerates deployment for startups and provides advanced data management for enterprises.

Why is Ragie better than the alternatives?

Ragie prioritizes developer experience with easy-to-use APIs, SDKs, and seamless connectivity to popular data sources. Built-in advanced features like summary index, entity extraction, and hybrid semantic and keyword search allows developers to focus on building their applications, instead of worrying about infrastructure. Ragie enables deployment in minutes instead of months.

Key Features:

• Connectors: Seamlessly connect data to your application from sources like Google Drive and Notion with built-in authentication and authorization.
• Automatic Syncing: Keeps data up-to-date, ensuring accurate and reliable information.
• Ragie Connect: Embed connectors directly in your app, allowing customers to securely connect and manage their data.

Use Cases:

• Legal: Optimizes legal research with high recall and precision, capturing relevant details while filtering out noise.
• E-commerce: Enhances product discovery and recommendation by leveraging comprehensive product data.

Ragie achieves 99.4% recall accuracy

“Our legal drafting is now 5-10x faster with Ragie’s RAG integration.” - Sampei Omichi, Founder & CEO, Ellis

Security:

Ragie protects data with bank-grade AES-256 encryption for storage and TLS encryption for transmission, with SOC2 Type I and CASA certification.

Pricing:

Ragie offers flexible pricing plans, including a free tier for developers, Starter and Pro plans for small to medium projects, and an Enterprise plan for large-scale applications.

Where can I use Ragie?

Ragie is designed for various applications including:

• Building internal tools.
• Creating customer-facing apps.
• Enhancing enterprise SaaS products.

Best way to get started?

Start building today with Ragie’s free tier, explore the documentation, and leverage the SDKs to simplify integration. Ragie helps your application get smarter over time, staying ahead of the AI curve.

In summary, Ragie is a powerful RAG-as-a-Service platform tailored for developers seeking to quickly build and deploy AI applications leveraging their data with accuracy and security.