These tools competes with
LightRAGvsLlamaIndex
Graph-based RAG with dual-level knowledge retrieval versus Data framework for RAG and LLM pipelines
Compare interactively in Explore →Choose LightRAG when…
- •Your queries require reasoning across multiple documents or topics
- •You want graph-based retrieval instead of flat vector search
- •You need both fact-level and concept-level retrieval in one system
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
Side-by-side comparison
Field
LightRAG
LlamaIndex
Category
Pipelines & RAG
Pipelines & RAG
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
—
—
GitHub Stars
⭐ 15,000
⭐ 37,000
Health
●85 — Active
●100 — Active
LightRAG
RAG framework that builds a knowledge graph from documents, enabling retrieval at both local (specific facts) and global (thematic) levels. Outperforms naive RAG on complex questions requiring reasoning across multiple document sections. EMNLP 2025.
Shared Connections2 tools both integrate with
Only LightRAG (1)
LlamaIndex
Only LlamaIndex (17)
CursorLangGraphLangChainChromapgvectorWeaviateLangfuseLiteLLMOllamaRAGAS
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See how LightRAG and LlamaIndex fit into the bigger picture — 235 tools, 543 relationships, all mapped.