RAGFlow vs RAGs by LlamaIndex

RAGFlow

RAG

RAGs by LlamaIndex

RAG

Tagline

RAGFlow

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

RAGs by LlamaIndex

Open-source Streamlit app that builds a custom RAG pipeline from a natural-language brief.

Pricing

RAGFlow

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

RAGs by LlamaIndex

Free· Free, MIT-licensed; bring your own model/API keys

Free trial

RAGFlow

Yes

RAGs by LlamaIndex

Yes

API

RAGFlow

Yes

RAGs by LlamaIndex

Not listed

Platforms

RAGFlow

api

RAGs by LlamaIndex

api

Open source

RAGFlow

Yes · Apache-2.0

RAGs by LlamaIndex

Yes · MIT

GitHub stars

RAGFlow

91,511

checked 2026-09-29

RAGs by LlamaIndex

6,551

checked 2026-09-29

Last GitHub push

RAGFlow

2026-09-29

RAGs by LlamaIndex

2024-04-05

First commit

RAGFlow

2023-12

RAGs by LlamaIndex

2023-11

Model used

RAGFlow

Multi-model

RAGs by LlamaIndex

Multi-model (OpenAI, Anthropic, Replicate, HuggingFace)

Best for

RAGFlow

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

RAGs by LlamaIndex

Pick RAGs if you want to stand up a LlamaIndex-powered chatbot over your own documents in an afternoon without writing the plumbing.

Not for

RAGFlow

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

RAGs by LlamaIndex

Skip it if you need a managed, SLA-backed RAG product with evals, auth and team features out of the box.

Editorial score

RAGFlow

8.1 / 10

RAGs by LlamaIndex

7.0 / 10

Use cases

RAGFlow

document-qaenterprise-searchagent-orchestrationknowledge-basehybrid-retrieval

RAGs by LlamaIndex

natural-language-rag-builderdocument-qallamaindex-prototypingchatbot-over-private-data

Pros

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

RAGs by LlamaIndex

• MIT-licensed and self-hostable with full control over data
• Natural-language interface to configure a real LlamaIndex RAG pipeline
• Provider-agnostic: OpenAI, Anthropic, Replicate and HuggingFace LLMs
• Exposes chunk size, top-K and embedding model as tunable knobs

Cons

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

RAGs by LlamaIndex

• Streamlit reference app, not a production-grade hosted service
• Maintenance-mode repo with relatively few commits
• Requires your own API keys and infra to run
• No built-in auth, eval or multi-tenant support

Website

RAGFlow

ragflow.io

RAGs by LlamaIndex

github.com

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.