AI Infrastructure & MLOps Free

RAGFlow

Open RAG and agent engine with document parsing, retrieval, and workflows

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PricingFree
Starting price$0
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentSelf Hosted
Last verifiedAugust 3, 2026
Overview

Tool overview

RAGFlow is listed under AI Infrastructure & MLOps AI tools.

Summary

What is RAGFlow?

RAGFlow is an Apache-2.0 retrieval and agent engine that combines document parsing, ingestion pipelines, datasets, hybrid retrieval, chat, memory, agent workflows, connectors, APIs, and self-hosted infrastructure for context-rich AI applications.

Best fit

Best for

Developers and platform teams operating self-hosted RAG and agent applications

Audience

Who is it for?

AI developersPlatform engineersRAG teamsEnterprise knowledge teams
Recommendation

Decision note

Rebuilt from the original export under the complete V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0, all explicit clears are reviewed, image import is disabled or V380 accepts the asset, one representative WordPress edit screen is compared with the export and proposed row, and a post-Apply zero-change Preview is completed.

Capabilities

Key features

Document parsing and ingestion pipelines

Datasets, hybrid retrieval, and memory

Chat and agent workflow builder

REST APIs, Docker, and Kubernetes deployment

Workflows

Use cases

Build enterprise RAG systems

Create data-connected agents

Parse complex documents

Publish controlled chat applications

Strengths

Pros

  • Apache-2.0 open-source project
  • Active 2026 release cycle
  • APIs and multiple deployment options
Considerations

Limitations

Parsing, retrieval, memory, and agent output can be incorrect and require evaluation and monitoring.

Administrators must secure default credentials, connectors, sandboxes, model endpoints, and uploaded data.

Cost

Pricing details

Pricing modelFree
Starting price$0
Free planYes
Free trialYes
Pricing context

Billing options

Free open sourceSelf-hosted infrastructure
Pricing context

Pricing note

RAGFlow is free under Apache-2.0. Users pay for their own compute, storage, databases, model providers, OCR services, and operational infrastructure.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Elasticsearch

OceanBase

S3

Azure Blob

GitHub

Google Drive

Zendesk

Specs

Technical details

PlatformsWeb, Desktop, API
Multilingual supportYes
Login requiredYes
Open sourceYes
LicenseApache-2.0
DeploymentSelf Hosted
CompanyInfiniFlow / RAGFlow community
Current version0.26.0
Models / versionsRAG engine Agent builder Memory Dataset pipelines
Editions / plansFull image Slim image Nightly Stable releases
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

RAGFlow is an Apache-2.0 retrieval and agent engine that combines document parsing, ingestion pipelines, datasets, hybrid retrieval, chat, memory, agent workflows, connectors, APIs, and self-hosted infrastructure for context-rich AI applications.
Developers and platform teams operating self-hosted RAG and agent applications
The listed pricing model for RAGFlow is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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