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LightRAG vs PaddleOCR vs Cognee

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

LightRAG vs PaddleOCR vs Cognee, side by side
LightRAGby HKU Data Science LabRemove LightRAG from this comparisonPaddleOCRby PaddlePaddleRemove PaddleOCR from this comparisonCogneeby TopoteretesRemove Cognee from this comparison
Sets it apart
  • No auth required
  • No auth required
  • Official Baidu listing
—
What it isBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.Converts documents, receipts, and images into structured data with OCR, layout analysis, and table recognition, exposed to agents via a Python API, CLI, and MCP server.Builds queryable memory for agents by turning documents and conversations into a knowledge graph plus vector store, self-hosted or via API and MCP.
ProviderHKU Data Science LabPaddlePaddleTopoteretes
Official vendorNot an official listingBaiduNot an official listing
VerifiedYesSame for all
AccessAPI, CLIAPI, MCP, CLIAPI, MCP, CLI
AuthNoneNoneAPI Key
MCP serverNo MCP serverRuns on your computeruvx --from paddleocr-mcp paddleocr_mcpIn its setup guide
CLI installIn its docspippython -m pip install paddleocrIn its docs
API base URLIn its docsSame for all
SkillsGraph Index, Hybrid Query, Incremental Update, API ServingText Recognition, Layout Analysis, Table Recognition, Document PipelineMemory Ingestion, Graph-Aware Search, Memory MCP Server
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesMemory & State, Research & Knowledge, Vector DatabasesContent & Media, Data & AnalyticsMemory & State, Vector Databases
Tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backendocr, document-parsing, table-recognition, layout-analysis, pdf-extraction, computer-vision, baiduagent-memory, knowledge-graph, graph-rag, document-ingestion, self-hosted, semantic-retrieval
Listed sinceSep 18, 2026Sep 18, 2026Jul 25, 2026
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/compare?a=lightrag&b=paddleocr&c=cognee
3 listings side by side · "same" marks a row every column shares
listings
lightragapi+cliNo auth requiredpaddleocrapi+cli+mcpNo auth required; Official Baidu listingcogneeapi+mcp+cli—
rows
descriptionBuilds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server. | Converts documents, receipts, and images into structured data with OCR, layout analysis, and table recognition, exposed to agents via a Python API, CLI, and MCP server. | Builds queryable memory for agents by turning documents and conversations into a knowledge graph plus vector store, self-hosted or via API and MCP.
providerHKU Data Science Lab | PaddlePaddle | Topoteretes
officialNot an official listing | Baidu | Not an official listing
verified (same)Yes
accessAPI, CLI | API, MCP, CLI | API, MCP, CLI
authNone | None | API Key
mcpNo MCP server | Runs on your computer: uvx --from paddleocr-mcp paddleocr_mcp | In its setup guide
cliIn its docs | pip: python -m pip install paddleocr | In its docs
api (same)In its docs
skillsGraph Index, Hybrid Query, Incremental Update, API Serving | Text Recognition, Layout Analysis, Table Recognition, Document Pipeline | Memory Ingestion, Graph-Aware Search, Memory MCP Server
streaming (same)No
push (same)No
categoriesMemory & State, Research & Knowledge, Vector Databases | Content & Media, Data & Analytics | Memory & State, Vector Databases
tagsgraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend | ocr, document-parsing, table-recognition, layout-analysis, pdf-extraction, computer-vision, baidu | agent-memory, knowledge-graph, graph-rag, document-ingestion, self-hosted, semantic-retrieval
addedSep 18, 2026 | Sep 18, 2026 | Jul 25, 2026
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