Who should use Ragie?

Ragie is a B2B product built for AI developers and teams building context-aware agents.

Does Ragie have a free plan?

Yes — there is a free tier, with paid plans for advanced use.

Is Ragie still maintained?

Unverified. Ragie has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to Ragie?

Similar projects tracked by PulseGate include RAGFlow, IgnitionRAG, and RustyRAG.

Does Ragie have an API or integrations?

Yes — Ragie exposes an MCP server and a public API.

Back to the index

Ragie

ragie.aiInfrastructure

Ragie is a fully managed Retrieval-Augmented Generation (RAG) platform offering real-time context indexing, retrieval with citations, and multimodal support for AI agents and applications. It provides APIs and tools for developers to integrate advanced context management into their AI workflows. Suitable for teams building context-powered AI solutions.

FreemiumWebCloud-managedAPI

Visit ragie.ai

Overview

5 features

In the RAG, search & retrieval space, Ragie takes a focused approach. It focuses on providing reliable, scalable context retrieval and indexing for AI agents, assistants, and applications. Ragie is a B2B product aimed at AI developers and teams building context-aware agents. There is a free tier. It runs on the web and API.

Ragie first shipped in 2024. Among its 5 catalogued features are real-time indexing, multimodal support, and entity extraction. It exposes integrations via an MCP server and a public API.

Summary written by a language model from the project’s public pages.

Real-time indexing
Multimodal support
Entity extraction
API access
MCP server

Built with & integrations

Hosting

Cloudflare

Connectors

MCPAPI

Runs on

BrowserCloud-managedAPI-only

Detected from

Cloudflare: cf-ray header · cf-cache-status header

Trust & compliance

Verified signals

HTTPSPrivacy Policy Terms of ServiceFree tier

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jun · 16:20 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about Ragie

What does Ragie do?: Ragie focuses on providing reliable, scalable context retrieval and indexing for AI agents, assistants, and applications. It is catalogued under RAG, search & retrieval on PulseGate.
Who should use Ragie?: Ragie is a B2B product built for AI developers and teams building context-aware agents.
Does Ragie have a free plan?: Yes — there is a free tier, with paid plans for advanced use.
What platforms does Ragie run on?: Ragie runs on the web and API.
Is Ragie still maintained?: Unverified. Ragie has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to Ragie?: Similar projects tracked by PulseGate include RAGFlow, IgnitionRAG, and RustyRAG.RAGFlow IgnitionRAG RustyRAG
When did Ragie launch?: Ragie first shipped in 2024.
Does Ragie have an API or integrations?: Yes — Ragie exposes an MCP server and a public API.

At a glance

Pricing: Freemium · pricing page detected · free tier
Platforms: Web
Languages: English
Built for: AI developers and teams building context-aware agents
Model: B2B
Solves: Providing reliable, scalable context retrieval and indexing for AI agents, assistants, and applications.

Index record

Indexed: 17 Jun 2026
Lifecycle: Alive
Last seen: 17 Jun 2026

Identity audit (12)

Slug: ragie-the-context-engine-for-agents-assistants-and-apps-ragie-ai
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model, checked against the page's own declaration.
Canonical URL: https://ragie.ai/

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do