Agent Switchboard

LlamaIndex vs RAGFlow vs LightRAG

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

LlamaIndex vs RAGFlow vs LightRAG, side by side
LlamaIndexby LlamaIndexRemove LlamaIndex from this comparisonRAGFlowby InfiniFlowRemove RAGFlow from this comparisonLightRAGby HKU Data Science LabRemove LightRAG from this comparison
Sets it apart
  • Most skills (5)
  • Streams responses
  • Only one with an MCP server
  • No auth required
  • Newest listing (added Sep 18, 2026)
What it isData framework and cloud platform for LLM apps over private data. Offers parsing, indexing, retrieval, agent workflows, and evaluation across 160+ data sources.Open-source RAG engine with deep document parsing (tables, charts, images) and an official MCP server. Deploy via Docker, call via REST API. 80k GitHub stars.Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.
ProviderLlamaIndexInfiniFlowHKU Data Science Lab
Official vendorNot an official listingSame for all
VerifiedYesSame for all
AccessAPI, CLIAPI, MCPAPI, CLI
AuthAPI KeyAPI KeyNone
MCP serverNo MCP serverIn its setup guideNo MCP server
CLI installIn its docsNo CLIIn its docs
API base URLIn its docsSame for all
SkillsData Ingestion, Vector Indexing, Query Engine, Agent Tools, RAG EvaluationDeep Document Parse, Knowledge Retrieval, Agent WorkflowsGraph Index, Hybrid Query, Incremental Update, API Serving
StreamingYesNoNo
Push notificationsNoSame for all
CategoriesResearch & KnowledgeResearch & Knowledge, Infrastructure & OpsMemory & State, Research & Knowledge, Vector Databases
Tagsrag, data-connectors, llm-applications, retrieval, indexing, open-sourcerag, document-parsing, knowledge-base, mcp-server, agent-rag, self-hosted, deep-docgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend
Listed sinceApr 13, 2026May 13, 2026Sep 18, 2026
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/compare?a=llamaindex&b=ragflow&c=lightrag
3 listings side by side · "same" marks a row every column shares
listings
llamaindexapi+cliMost skills (5); Streams responsesragflowapi+mcpOnly one with an MCP serverlightragapi+cliNo auth required; Newest listing (added Sep 18, 2026)
rows
descriptionData framework and cloud platform for LLM apps over private data. Offers parsing, indexing, retrieval, agent workflows, and evaluation across 160+ data sources. | Open-source RAG engine with deep document parsing (tables, charts, images) and an official MCP server. Deploy via Docker, call via REST API. 80k GitHub stars. | Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.
providerLlamaIndex | InfiniFlow | HKU Data Science Lab
official (same)Not an official listing
verified (same)Yes
accessAPI, CLI | API, MCP | API, CLI
authAPI Key | API Key | None
mcpNo MCP server | In its setup guide | No MCP server
cliIn its docs | No CLI | In its docs
api (same)In its docs
skillsData Ingestion, Vector Indexing, Query Engine, Agent Tools, RAG Evaluation | Deep Document Parse, Knowledge Retrieval, Agent Workflows | Graph Index, Hybrid Query, Incremental Update, API Serving
streamingYes | No | No
push (same)No
categoriesResearch & Knowledge | Research & Knowledge, Infrastructure & Ops | Memory & State, Research & Knowledge, Vector Databases
tagsrag, data-connectors, llm-applications, retrieval, indexing, open-source | rag, document-parsing, knowledge-base, mcp-server, agent-rag, self-hosted, deep-doc | graph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend
addedApr 13, 2026 | May 13, 2026 | Sep 18, 2026
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