DoclingvsLlamaIndex

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

Full review →Website ↗

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Full review →Website ↗
FeatureDoclingLlamaIndex
CategoryData & ETLData & ETL
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
15k
✓ More stars
38k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • ✓ PDF conversion
  • ✓ Table extraction
  • ✓ OCR
  • ✓ Markdown output
  • ✓ LlamaIndex integration
  • ✓ RAG pipelines
  • ✓ Data connectors
  • ✓ Indexing
  • ✓ Query engine
  • ✓ Agent tools
Pros
  • + Excellent PDF parsing
  • + Table extraction
  • + OCR capability
  • + IBM Research quality
  • + LlamaIndex integration
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
Cons
  • − Heavy dependencies
  • − Can be slow on large docs
  • − Python only
  • − Complex output format
  • − Can be complex for simple use cases
  • − Abstractions hide complexity
  • − Learning curve for advanced features
  • − Some features require LlamaCloud
Tags
documentspdfconversionibm
ragdataindexingopen-source

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