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WeKnora vs LightRAG vs MinerU

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

WeKnora vs LightRAG vs MinerU, side by side
WeKnoraby TencentRemove WeKnora from this comparisonLightRAGby HKU Data Science LabRemove LightRAG from this comparisonMinerUby OpenDataLabRemove MinerU from this comparison
Sets it apart
  • Only one with an MCP server
  • Only one with a browser extension
  • Official Tencent listing
  • Most skills (5)
  • No auth required
  • Newest listing (added Sep 18, 2026)
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What it isTurns documents into a queryable knowledge base with RAG question answering, a ReAct agent orchestrating retrieval, MCP tools and web search, and an auto-generated wiki.Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.Converts PDFs, Office documents, and scanned pages into LLM-ready Markdown or JSON, preserving tables, formulas, and reading order for agent pipelines.
ProviderTencentHKU Data Science LabOpenDataLab
Official vendorTencentNot an official listingNot an official listing
VerifiedYesSame for all
AccessAPI, MCP, CLI, ExtensionAPI, CLIAPI, CLI
AuthAPI KeyNoneAPI Key
MCP serverIn its setup guideNo MCP serverNo MCP server
CLI installIn its docsSame for all
API base URLIn its docsSame for all
SkillsDocument Ingestion, Hybrid Retrieval, ReAct Reasoning Agent, Auto Wiki Generation, Data Source SyncGraph Index, Hybrid Query, Incremental Update, API ServingLayout Parsing, Table and Formula Extraction, Batch Conversion
StreamingYesNoNo
Push notificationsNoSame for all
CategoriesResearch & Knowledge, Customer Support, Communication & MessagingMemory & State, Research & Knowledge, Vector DatabasesData & Analytics, Research & Knowledge
Tagsrag, react-agent, document-parsing, knowledge-graph, hybrid-retrieval, wiki-generation, im-channels, self-hostedgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backenddocument-parsing, pdf-extraction, ocr, markdown-conversion, rag-ingestion, table-extraction, formula-recognition
Listed sinceAug 1, 2026Sep 18, 2026Aug 15, 2026
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/compare?a=weknora&b=lightrag&c=mineru
3 listings side by side · "same" marks a row every column shares
listings
weknoraapi+mcp+cli+browser-extensionOnly one with an MCP server; Only one with a browser extension; Official Tencent listing; Most skills (5)lightragapi+cliNo auth required; Newest listing (added Sep 18, 2026)mineruapi+cli—
rows
descriptionTurns documents into a queryable knowledge base with RAG question answering, a ReAct agent orchestrating retrieval, MCP tools and web search, and an auto-generated wiki. | Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server. | Converts PDFs, Office documents, and scanned pages into LLM-ready Markdown or JSON, preserving tables, formulas, and reading order for agent pipelines.
providerTencent | HKU Data Science Lab | OpenDataLab
officialTencent | Not an official listing | Not an official listing
verified (same)Yes
accessAPI, MCP, CLI, Extension | API, CLI | API, CLI
authAPI Key | None | API Key
mcpIn its setup guide | No MCP server | No MCP server
cli (same)In its docs
api (same)In its docs
skillsDocument Ingestion, Hybrid Retrieval, ReAct Reasoning Agent, Auto Wiki Generation, Data Source Sync | Graph Index, Hybrid Query, Incremental Update, API Serving | Layout Parsing, Table and Formula Extraction, Batch Conversion
streamingYes | No | No
push (same)No
categoriesResearch & Knowledge, Customer Support, Communication & Messaging | Memory & State, Research & Knowledge, Vector Databases | Data & Analytics, Research & Knowledge
tagsrag, react-agent, document-parsing, knowledge-graph, hybrid-retrieval, wiki-generation, im-channels, self-hosted | graph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend | document-parsing, pdf-extraction, ocr, markdown-conversion, rag-ingestion, table-extraction, formula-recognition
addedAug 1, 2026 | Sep 18, 2026 | Aug 15, 2026
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