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Ragie

Ragie

Your Audio and Video, Now Fully Searchable.

Overview

What it is

Ragie is a fully managed RAG-as-a-Service platform for developers. Ingest, index, and retrieve from sources like Google Drive, Notion, Confluence, Salesforce, and even audio and video. Build agentic retrieval workflows, or power context-aware tool selection with a hosted MCP Server. Ragie handles auth, permissions, and sync, with hybrid search, reranking, and real-time indexing. Enterprise-ready with GDPR, SOC 2, and HIPAA compliance. Get started for free with our Developer tier.

Intent

I need it when

Deploy production-grade RAG infrastructure without building and maintaining custom pipelines

Ragie eliminates the need to build chunking, indexing, and retrieval pipelines. The platform handles parsing, chunking, indexing, and deployment automatically. Enterprise features include 99.9%+ uptime, SOC 2 Type II, GDPR, HIPAA, CCPA compliance, multi-tenant architecture for data isolation, and flexible deployment (cloud, VPC, on-prem).

Build AI agents and assistants that retrieve accurate, contextual information from documents and knowledge bases

Ragie provides a fully managed RAG-as-a-Service platform with vector, keyword, and summary indexing combined via hybrid search. Developers can index documents via API or connectors (Google Drive, Notion, Slack, Confluence), then retrieve context with citations through simple API calls. MCP Server integration lets agents access knowledge bases through Claude, Cursor, and other AI tools.

Improve legal research and document review speed while maintaining high recall and precision

Ragie's hybrid search and reranking capabilities surface the most relevant legal documents with high recall and precision. Customers report 5-10x faster legal drafting. The platform handles complex legal documents and supports partitions for secure data isolation, critical for law firms managing sensitive client information.

Sync and keep knowledge bases current across multiple data sources automatically

Ragie's native connectors enable automatic syncing from Google Drive, Notion, Confluence, Slack, and other platforms. Users can embed connectors in their apps so customers connect their own data sources. Real-time indexing keeps context current without manual pipeline maintenance.

Extract structured data and entities from unstructured documents like PDFs, forms, and images

Ragie Parse uses Agentic OCR to extract tables, forms, charts, and key-value pairs with precise bounding boxes. Entity Extraction API lets users specify what to extract in plain language, automatically pulling structured entities from every document. Supports text, PDFs, images, audio, and video through one unified pipeline.

Drop

Not a fit when

  • User needs on-premise deployment without cloud option (Ragie offers cloud, VPC, or on-prem but requires enterprise contact)
  • Organization requires zero per-page processing costs and processes high volumes of complex documents (hi-res mode at $0.05/page adds up quickly)
  • User needs real-time indexing without API integration (Ragie requires API or connector setup)
  • Project requires support for proprietary or highly specialized document formats not covered by multimodal pipeline
  • Organization cannot accept automatic credit overage funding and needs strict monthly spending predictability without auto-top-up
Commercials

Pricing

USD0 - USD500 / monthly View pricing