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ragflow vs llama_index

ragflow (Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management) vs llama_index (Document agent and OCR platform) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · ragflow alternatives · llama_index alternatives

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ragflow

infiniflow/ragflow

★ 85kpushed Jul 8, 2026

llama_index

run-llama/llama_index

★ 51kpushed Jul 2, 2026

Tagline

ragflow: Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management
llama_index: Document agent and OCR platform

Stars

ragflow: 85k
llama_index: 51k

Forks

ragflow: 9.9k
llama_index: 7.7k

Open issues

ragflow: 2.3k
llama_index: 494

Language

ragflow: Go
llama_index: Python

Adopt for

ragflow: Decide whether to use RAGFlow based on its unique integration of retrieval and AI agent capabilities for generating enhanced context layers with LLMs, while considering its language choice (Go) and Apache-2.0 license.
llama_index: LlamaIndex is an open-source framework that enables developers to build agentic applications, integrating with various LLMs, embeddings, and vector stores.

Persona

ragflow: -
llama_index: -

Runtime

ragflow: -
llama_index: -

License

ragflow: Apache-2.0
llama_index: MIT

Last pushed

ragflow: Jul 8, 2026
llama_index: Jul 2, 2026

	ragflow	llama_index
Tagline	Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management	Document agent and OCR platform
Stars	85k	51k
Forks	9.9k	7.7k
Open issues	2.3k	494
Language	Go	Python
Adopt for	Decide whether to use RAGFlow based on its unique integration of retrieval and AI agent capabilities for generating enhanced context layers with LLMs, while considering its language choice (Go) and Apache-2.0 license.	LlamaIndex is an open-source framework that enables developers to build agentic applications, integrating with various LLMs, embeddings, and vector stores.
Persona	-	-
Runtime	-	-
License	Apache-2.0	MIT
Last pushed	Jul 8, 2026	Jul 2, 2026
Categories	AI Agents, Data & Retrieval	AI Agents, Vector Databases
Trust and health
Days since push	0d	5d
Open issues (now)	2.3k	494
Security scan	4 low (4 low)	No lockfile
Full report	Trust report	Trust report
Typed relationship	ragflow alternative llama_indexIn both cases, they are tools for Retrieval-Augmented Generation with agent capabilities. However, RagFlow integrates directly into existing workflows, making it an alternative approach.

Choose ragflow if…

ragflow is primarily Go; llama_index is Python.
License: ragflow is Apache-2.0, llama_index is MIT.
Pricing: RAGFlow is offered under an Apache-2.0 license, making the core functionality free and open-source. However, there may be additional costs associated with hosting, infrastructure maintenance, and any云.
In both cases, they are tools for Retrieval-Augmented Generation with agent capabilities. However, RagFlow integrates directly into existing workflows, making it an alternative approach.
Tags unique to ragflow: context-management, llm-context-layer, rag, agentic-ai.
Also covers Data & Retrieval.
ragflow ships Docker support for self-hosted deployment.
When you need a tool that integrates both retrieval-augmented generation and AI agent functionalities to enhance the contextual layer for any use case involving large language models.

When NOT to use ragflow

If your project strictly requires a Python environment as RAGFlow is written in Go, transitioning or integrating might pose technical challenges.
In situations where you need real-time processing capabilities superior to what's currently offered by RAGFlow’s architecture without significant customization efforts.
When looking for specialized RAG platforms that offer more mature features like extensive pre-trained models or advanced data handling specific to niche industries.

GitHub Details

Choose llama_index if…

llama_index is primarily Python; ragflow is Go.
License: llama_index is MIT, ragflow is Apache-2.0.
In both cases, they are tools for Retrieval-Augmented Generation with agent capabilities. However, RagFlow integrates directly into existing workflows, making it an alternative approach.
Tags unique to llama_index: llamaindex, fine-tuning, agents, llm.
Also covers Vector Databases.
When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.

When NOT to use llama_index

If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR.
In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co

GitHub Details

Explore

ragflow trust report →llama_index trust report →AI Agents category →Data & Retrieval category →Vector Databases category →All comparisons Stack workflows Trending tools

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Common questions

What is the difference between ragflow and llama_index?: ragflow: Retrieval-Augmented Generation (RAG) engine fusing Agent capabilities with LLM context management. llama_index: Document agent and OCR platform. See the comparison table for live GitHub stats and shared categories.
When should I choose ragflow over llama_index?: Choose ragflow over llama_index when ragflow is primarily Go; llama_index is Python; License: ragflow is Apache-2.0, llama_index is MIT; Pricing: RAGFlow is offered under an Apache-2.0 license, making the core functionality free and open-source. However, there may be additional costs associated with hosting, infrastructure maintenance, and any云; In both cases, they are tools for Retrieval-Augmented Generation with agent capabilities. However, RagFlow integrates directly into existing workflows, making it an alternative approach; Tags unique to ragflow: context-management, llm-context-layer, rag, agentic-ai; Also covers Data & Retrieval; ragflow ships Docker support for self-hosted deployment; When you need a tool that integrates both retrieval-augmented generation and AI agent functionalities to enhance the contextual layer for any use case involving large language models.
When should I choose llama_index over ragflow?: Choose llama_index over ragflow when llama_index is primarily Python; ragflow is Go; License: llama_index is MIT, ragflow is Apache-2.0; In both cases, they are tools for Retrieval-Augmented Generation with agent capabilities. However, RagFlow integrates directly into existing workflows, making it an alternative approach; Tags unique to llama_index: llamaindex, fine-tuning, agents, llm; Also covers Vector Databases; When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.
When should I avoid ragflow?: If your project strictly requires a Python environment as RAGFlow is written in Go, transitioning or integrating might pose technical challenges. In situations where you need real-time processing capabilities superior to what's currently offered by RAGFlow’s architecture without significant customization efforts. When looking for specialized RAG platforms that offer more mature features like extensive pre-trained models or advanced data handling specific to niche industries.
When should I avoid llama_index?: If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR. In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co
Is ragflow or llama_index more popular on GitHub?: ragflow has more GitHub stars (84,561 vs 50,723). Stars measure visibility, not whether either tool fits your constraints.
Are ragflow and llama_index open source?: Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, llama_index: MIT).
Where can I find alternatives to ragflow or llama_index?: GraphCanon lists graph-backed alternatives at /tools/infiniflow-ragflow/alternatives and /tools/run-llama-llama-index/alternatives (/tools/infiniflow-ragflow/alternatives.md, /tools/run-llama-llama-index/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?: Yes. The markdown twin at /compare/infiniflow-ragflow-vs-run-llama-llama-index.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ragflow or llama_index?: ragflow: Very active. llama_index: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for ragflow and llama_index?: GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow: /tools/infiniflow-ragflow/trust; llama_index: /tools/run-llama-llama-index/trust.