RAGFlow

RAGFlow is the open-source Retrieval-Augmented Generation engine built by InfiniFlow Inc. It combines deep document understanding (DeepDoc parsing of PDFs, images, tables and scanned files) with hybrid retrieval — dense vector search, BM25 full-text and tensor/multi-vector re-ranking — and an integrated visual agent platform, to serve as a context layer for LLM applications. The platform ships as an Apache-2.0 self-hosted Docker deployment and as RAGFlow Cloud, a hosted multi-tenant service. Its RESTful HTTP API covers dataset (knowledge base) management, document ingestion and parsing, chunk management, retrieval, chat assistants, sessions, agents, memory, workspace file versioning and search apps, plus an OpenAI-compatible chat-completions surface. A first-party Python SDK and an optional self-hosted Model Context Protocol server expose the same retrieval core to agents.

RAGFlow publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Retrieval Augmented Generation, Search, and Vector Database.

RAGFlow’s developer surface includes documentation, getting-started guide, API reference, engineering blog, support, pricing, signup flow, and 30 more developer resources.

1 APIs 1 MCP Servers
CompanyArtificial IntelligenceRetrieval Augmented GenerationSearchVector DatabaseDocument ProcessingKnowledge ManagementAgentsOpen SourceLLMModel Context Protocol

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

RAGFlow HTTP API

The RAGFlow RESTful HTTP API — 95 documented operations under /api/v1, authenticated with a tenant API key carried as a bearer token. Covers dataset management, document upload ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

RAGFlow MCP Server

A first-party Model Context Protocol server that InfiniFlow ships inside the RAGFlow repository at mcp/server/server.py. It is an OPTIONAL, DISABLED-BY-DEFAULT component of a RA...

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Ragflow Plans Pricing

5 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Ragflow Rate Limits

3 limits

RATE LIMITS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Ragflow Authentication

1 scheme

SECURITY

Ragflow Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Build 5

SDKs, sample code, and the tooling you integrate with

Access & Security 5

Authentication, authorization, and security posture

Operate 7

Status, limits, changes, and where to get help

Scroll for all 7

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: ragflow
name: RAGFlow
description: RAGFlow is the open-source Retrieval-Augmented Generation engine built by InfiniFlow Inc. It combines deep document
  understanding (DeepDoc parsing of PDFs, images, tables and scanned files) with hybrid retrieval — dense vector search, BM25
  full-text and tensor/multi-vector re-ranking — and an integrated visual agent platform, to serve as a context layer for
  LLM applications. The platform ships as an Apache-2.0 self-hosted Docker deployment and as RAGFlow Cloud, a hosted multi-tenant
  service. Its RESTful HTTP API covers dataset (knowledge base) management, document ingestion and parsing, chunk management,
  retrieval, chat assistants, sessions, agents, memory, workspace file versioning and search apps, plus an OpenAI-compatible
  chat-completions surface. A first-party Python SDK and an optional self-hosted Model Context Protocol server expose the
  same retrieval core to agents.
url: https://raw.githubusercontent.com/api-evangelist/ragflow/refs/heads/main/apis.yml
image: https://ragflow.io/img/logo.svg
x-type: company
x-source: harvest:self-hosted-agent-stack
specificationVersion: '0.20'
created: '2026-08-27'
modified: '2026-08-27'
tags:
- Company
- Artificial Intelligence
- Retrieval Augmented Generation
- Search
- Vector Database
- Document Processing
- Knowledge Management
- Agents
- Open Source
- LLM
- Model Context Protocol
apis:
- aid: ragflow-http-api
  name: RAGFlow HTTP API
  description: The RAGFlow RESTful HTTP API — 95 documented operations under /api/v1, authenticated with a tenant API key
    carried as a bearer token. Covers dataset management, document upload / parse / ingest, chunk management, retrieval, chat
    assistants, sessions, agents, memory, file and workspace-commit management, search apps, and an OpenAI-compatible chat-completions
    endpoint. Documented as a human reference; no machine-readable OpenAPI is published.
  humanURL: https://ragflow.io/docs/http_api_reference
  baseURL: https://cloud.ragflow.io/api/v1
  tags:
  - Retrieval Augmented Generation
  - Search
  - Document Processing
  - Agents
  properties:
  - type: APIReference
    url: https://ragflow.io/docs/http_api_reference
  - type: Documentation
    url: https://ragflow.io/docs
  - type: Authentication
    url: authentication/ragflow-authentication.yml
  - type: ErrorCatalog
    url: errors/ragflow-error-codes.yml
  - type: Conventions
    url: conventions/ragflow-conventions.yml
  - type: DataModel
    url: data-model/ragflow-data-model.yml
  - type: RateLimits
    url: rate-limits/ragflow-rate-limits.yml
  - type: Lifecycle
    url: lifecycle/ragflow-lifecycle.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://ragflow.io/
- type: Documentation
  url: https://ragflow.io/docs
- type: GettingStarted
  url: https://ragflow.io/docs
- type: APIReference
  url: https://ragflow.io/docs/http_api_reference
- type: Blog
  url: https://ragflow.io/blog
- type: GitHubOrganization
  url: https://github.com/infiniflow
- type: SourceCode
  url: https://github.com/infiniflow/ragflow
- type: Roadmap
  url: https://github.com/infiniflow/ragflow/issues/12241
- type: Support
  url: https://ragflow.io/contact-us
- type: Community
  url: https://discord.gg/NjYzJD3GM3
- type: Pricing
  url: https://ragflow.io/#pricing-plan
- type: SignUp
  url: https://cloud.ragflow.io/
- type: TermsOfService
  url: https://ragflow.io/policies/terms
- type: PrivacyPolicy
  url: https://ragflow.io/policies/privacy
- type: Compliance
  url: https://ragflow.io/policies/dpa
- type: Security
  url: security/ragflow-vulnerability-disclosure.yml
- type: VulnerabilityDisclosure
  url: security/ragflow-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/ragflow-domain-security.yml
- type: Packages
  url: packages/ragflow-packages.yml
- type: SDKs
  url: packages/ragflow-packages.yml
- type: MCPServer
  url: mcp/ragflow-mcp.yml
- type: ToolCrosswalk
  url: mcp/ragflow-tool-crosswalk.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/ragflow-llms.txt
- type: Conventions
  url: conventions/ragflow-conventions.yml
- type: ErrorCatalog
  url: errors/ragflow-error-codes.yml
- type: Authentication
  url: authentication/ragflow-authentication.yml
- type: Conformance
  url: conformance/ragflow-conformance.yml
- type: DataModel
  url: data-model/ragflow-data-model.yml
- type: Lifecycle
  url: lifecycle/ragflow-lifecycle.yml
- type: Deprecation
  url: lifecycle/ragflow-lifecycle.yml
- type: ChangeLog
  url: changelog/ragflow-changelog.yml
- type: ReleaseNotes
  url: https://ragflow.io/docs/release_notes
- type: Plans
  url: plans/ragflow-plans-pricing.yml
- type: RateLimits
  url: rate-limits/ragflow-rate-limits.yml
- type: Sandbox
  url: sandbox/ragflow-sandbox.yml
- type: Components
  url: components/ragflow-components.yml
x-enrichment:
  date: '2026-08-27'
  status: enriched
  artifacts_added: 21
  pass: local-v1

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