LlamaIndexvsDocling

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

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

Docling

Data & ETL

IBM's document conversion tool for AI pipelines

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

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