Free plan available

Ragie

Fully managed RAG-as-a-Service for developers to connect LLMs to user data.

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Intro

What is Ragie?

Ragie is a fully managed RAG-as-a-Service platform built for developers to streamline context engineering and the deployment of advanced AI applications. Operating as a production-ready rag ai infrastructure, it automates the ingestion, chunking, and multimodal indexing of both structured and unstructured data. Ragie AI provides simple APIs and SDKs alongside built-in connectors that allow seamless integration with platforms like Google Drive, Gmail, Notion, and Confluence. By managing complex backend processes like hybrid search, entity extraction, and chunk reranking, it functions similarly to an optimized ragflow pipeline, enabling teams to build cutting-edge generative AI tools—such as a basechat chatbot or specialized systems capable of performing a rag video summary—without the hassle of maintaining standalone vector databases or manual chunking infrastructure.

Ragie at a glance
Free tier available, Pro plan offers a free 30-day trial16K monthly visitsHas free access
Pricing

Ragie Pricing Plans

Compare Ragie free options, Ragie paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free tier available, Pro plan offers a free 30-day trial

$0

Free tier for developers to get started building their applications.

Contact for Pricing

Designed for small projects.

Free 30-day Trial

Built for production environments; no credit card required to start the trial.

Contact for Pricing

Tailored for scaling operations and enterprise demands.

Pricing updated:Jun 12, 2026

Features

Ragie AI Features

Fully managed RAG-as-a-Service infrastructure with simple APIs and SDKsRagie Connect pre-built integrations for automatic syncing with Google Drive, Notion, Gmail, and ConfluenceMultimodal indexing supporting text documents, PDFs, images, and PowerPoint presentationsAdvanced retrieval features including LLM re-ranking, summary indexing, and entity extractionHybrid Search combining semantic search and keyword-based retrievalData partitioning for multi-tenant SaaS applications and isolated knowledge basesBank-grade security with AES-256 storage encryption, TLS transmission, and CASA, GDPR, and CCPA certifications
Pros & Cons

Ragie Pros and Cons

Pros

  • Accelerates application development from months to minutes by removing RAG infrastructure hassle
  • Automatic syncing ensures the RAG pipeline always delivers accurate, up-to-date information
  • Outperforms FinanceBench test benchmarks by 137% due to regular optimization
  • Robust, enterprise-grade data privacy compliance (CASA, GDPR, CCPA) and data is never used for LLM training

Limitations

  • Certain connectors like Salesforce and a Web Scraper are still marked as coming soon
  • SOC2 Type II certification is not yet fully completed (listed as coming soon)

Ragie FAQ

Building production-grade RAG applications manually requires setting up vector databases, handling complex document chunking, managing OAuth syncs, and tweaking algorithms to prevent hallucinations. Ragie provides this entire setup as a fully managed RAG-as-a-Service, offering a premium developer experience with built-in hybrid search, entity extraction, and LLM re-ranking right out of the box.