Most companies rely on LLM providers like OpenAI and Anthropic for their AI applications, combined with a technique called RAG (Retrieval Augmented Generation). RAG leverages a company’s own data to generate more insightful content than would be possible based on the trained models alone. To do this, companies ingest their data into a vector database, index it, feed it into a prompt, and generate more thorough and accurate content.

However, the process of building production applications with RAG is very tedious. Developers must:

• Connect and synchronize multiple data sources, including knowledge base applications and cloud file storage
• Extract meaningful data from a variety of file formats and media types such as PDFs, Microsoft Office documents and images
• Implement constantly evolving techniques for chunking and retrieval
• Build a scalable data processing pipeline that is robust and fast
• Avoid hallucinations and make sure the generated content is correct
• Use open source frameworks that can be time-consuming to learn and set up

Developing such a custom solution is time-consuming and, despite the team’s best efforts, leads to unstable applications.

Ragie solves this problem by providing developers with a fully managed RAG-as-a-Service platform. Originally developed as a solution for Glue, David Sacks Ragie implements a robust data ingestion pipeline and data retrieval API that uses the latest techniques in RAG for slicing, searching, and reordering. Through a streamlined developer experience, developers can connect and sync their applications with data in Google Drive, Notion, and Confluence.

Ragie not only provides the core functionality developers need for RAG, but also advanced features such as Summary Index to avoid document affinity issues and Entity Extraction to extract structured data from unstructured documents.

Ragie’s straightforward pricing is aligned with the way apps are developed, deployed, and scaled. Ragie includes a free tier for developers who want to start building their applications, a Pro plan for production, and an Enterprise plan for scaling.

Sign up for free with Ragie and get started with the TypeScript and Python SDKs in minutes. To celebrate the launch, Ragie is offering a free month of Pro for a limited time. For more information, see Ragie.ai

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