What is Ragie used for?

Ragie is a managed RAG-as-a-Service platform that provides APIs for indexing, retrieval, document parsing, and entity extraction. It is a good fit for RAG for Teams, legal and sales.

Is Ragie open source?

No. Ragie is proprietary (closed-source) software. In the AI Tools category, open-source options include Open WebUI, FastGPT and DB-GPT.

Ragie: features, pricing and alternatives

About Ragie

Ragie is a fully managed RAG-as-a-Service platform that combines intelligent indexing and retrieval, document parsing, and entity extraction to provide context for AI applications. It offers purpose-built APIs for indexing and retrieval, document parsing, and entity extraction.

Key features

Index and Retrieval: builds vector, keyword, and summary indexes from content and handles the retrieval pipeline
Parse: Agentic OCR extracts structured elements from documents including tables, forms, charts, and key-value pairs with bounding boxes
Entity Extraction: extracts structured entities from documents based on plain language instructions
Multimodal support: handles text, PDFs, images, audio, and video through one pipeline
Native Connectors: syncs from Google Drive, Notion, Confluence, Slack, and others
Real-time indexing and retrieval with citations

Good fit for

RAG for Teams
Legal
Sales

Tags: rag; context-engine; ai; document-parsing; entity-extraction; retrieval

Ragie: questions and answers

What is Ragie used for?: Ragie is a managed RAG-as-a-Service platform that provides APIs for indexing, retrieval, document parsing, and entity extraction. It is a good fit for RAG for Teams, legal and sales.
Is Ragie open source?: No. Ragie is proprietary (closed-source) software. In the AI Tools category, open-source options include Open WebUI, FastGPT and DB-GPT.
What are some alternatives to Ragie?: Ragie competes with Vellum.