Ragie
Ragie is a fully-managed Retrieval-Augmented Generation (RAG) as-a-service platform. Its REST API ingests documents (file upload, raw, or from URL), processes them into searchable chunks, and serves low-latency semantic retrieval, agentic responses, entity extraction, and managed data connectors to sources like Google Drive, Notion, and Confluence.
Ragie publishes 5 APIs on the APIs.io network, including Connections API, Documents API, Entities API, and 2 more. Tagged areas include Artificial Intelligence, RAG, Retrieval, Vector Search, and Document Ingestion.
Ragie’s developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Ragie Connections API
The Connections API from Ragie — 8 operation(s) for connections.
Ragie Documents API
The Documents API from Ragie — 10 operation(s) for documents.
Ragie Entities API
The Entities API from Ragie — 4 operation(s) for entities.
Ragie Partitions API
The Partitions API from Ragie — 3 operation(s) for partitions.
Ragie Retrievals API
The Retrievals API from Ragie — 2 operation(s) for retrievals.
Open Collections 7
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONRagie Connections API
OPEN COLLECTIONRagie Connections Documents API
OPEN COLLECTIONRagie Connections Entities API
OPEN COLLECTIONRagie Connections Partitions API
OPEN COLLECTIONRagie Connections Retrievals API
OPEN COLLECTIONRagie API
OPEN COLLECTIONScroll for all 7
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Ragie Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Ragie Ai Finops
FINOPSSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.