Agentset vs RAGFlow

Agentset

RAG

RAGFlow

RAG

Tagline

Agentset

Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.

RAGFlow

Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.

Pricing

Agentset

Freemium· Free: $0 · Pro: $49 · Enterprise: Custom

RAGFlow

Freemium· Free tier; Starter $29/mo; Pro $129/mo; Enterprise custom

Lowest paid tier

Agentset

$49 · Pro

captured 2026-08-06

RAGFlow

—

Free trial

Agentset

Yes

RAGFlow

Yes

API

Agentset

Yes

RAGFlow

Yes

Platforms

Agentset

api

RAGFlow

api

Open source

Agentset

Not listed

RAGFlow

Yes · Apache-2.0

GitHub stars

Agentset

—

RAGFlow

91,511

checked 2026-09-29

Last GitHub push

Agentset

—

RAGFlow

2026-09-29

First commit

Agentset

—

RAGFlow

2023-12

Model used

Agentset

Multi-model (Claude, OpenAI, Google, xAI, Cohere, Mistral, DeepSeek)

RAGFlow

Multi-model

Best for

Agentset

Pick Agentset if you want production RAG with citations and multimodal ingestion without building the pipeline, embeddings, and eval loop yourself.

RAGFlow

Pick RAGFlow if you need a self-hostable, citation-grounded RAG stack that can actually digest gnarly enterprise documents and feed agents.

Not for

Agentset

Skip it if you already run your own vector DB and chunking stack, or if your corpus is millions of pages where per-page pricing breaks down.

RAGFlow

Skip it if you just want a hosted chat-with-PDF widget or you're allergic to running your own infrastructure.

Editorial score

Agentset

7.3 / 10

RAGFlow

8.1 / 10

Use cases

Agentset

document-qaagentic-searchknowledge-basecitationsmultimodal-rag

RAGFlow

document-qaenterprise-searchagent-orchestrationknowledge-basehybrid-retrieval

Pros

Agentset

• Forever-free tier covers real prototyping (1K pages, 10K retrievals)
• Model- and vector-DB-agnostic; avoids LLM vendor lock-in
• Agentic retrieval with automatic citations out of the box
• Ships SDKs plus an MCP server for agent stacks
• SOC 2, HIPAA, and GDPR posture available on Enterprise

RAGFlow

• Strong deep-document parsing for messy PDFs, tables, and scans
• Hybrid vector + BM25 retrieval with citation-grounded answers
• Fully open-source with active GitHub repo and self-host option
• Visual agent builder plus MCP integration for tool-calling clients
• Model-agnostic; works with most major LLM providers

Cons

Agentset

• Connectors are $100 each on top of the Pro plan
• Per-page overage adds up fast for document-heavy corpora
• On-prem/BYOC and compliance reports are Enterprise-only
• License terms not clearly surfaced despite GitHub presence

RAGFlow

• Free tier blocks API access, pushing real use to paid plans
• Self-hosting is non-trivial and resource-hungry
• Documentation and UI lag behind the engine's capabilities

Website

Agentset

agentset.ai

RAGFlow

ragflow.io

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.