These tools competes with
LlamaIndexvsRAGFlow
Data framework for RAG and LLM pipelines versus Deep-document-understanding RAG engine with visual pipeline editor
Compare interactively in Explore →Choose LlamaIndex when…
- •You're building RAG or knowledge base apps
- •Structured data querying over documents is your focus
- •You need powerful index and retrieval primitives
Choose RAGFlow when…
- •Your RAG pipeline ingests complex PDFs with tables and figures
- •You want a visual no-code pipeline editor for RAG workflows
- •You need document understanding beyond simple text chunking
Side-by-side comparison
Field
LlamaIndex
RAGFlow
Category
Pipelines & RAG
Pipelines & RAG
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
—
Cloud: $0.01/page
GitHub Stars
⭐ 37,000
⭐ 40,000
Health
●100 — Active
●80 — Active
LlamaIndex
Framework specialized in data ingestion, indexing, and retrieval for LLM applications. The go-to for complex RAG pipelines.
RAGFlow
Open-source RAG engine built on deep document understanding — handles tables, figures, and complex layouts in PDFs that chunk-based RAG misses. Includes a visual DAG pipeline editor for building extraction and retrieval workflows. One of the fastest-growing RAG projects of 2025 with 40K+ GitHub stars.
Shared Connections3 tools both integrate with
Only LlamaIndex (16)
CursorLangGraphQdrantChromapgvectorWeaviateLangfuseLiteLLMOllamaRAGAS
Only RAGFlow (1)
LlamaIndex
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