UnstructuredvsLlamaIndex

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

Unstructured

Data & ETL

ETL for unstructured data — PDFs, images, HTML to LLM-ready

LlamaIndex

Data & ETL

Featured

Data framework for connecting LLMs to external data

FeatureUnstructuredLlamaIndex
CategoryData & ETLData & ETL
PricingFree (open-source) + APIFree (open-source) + Cloud
GitHub Stars
9k
More stars
38k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • PDF parsing
  • Image extraction
  • HTML processing
  • Chunking
  • Multi-format
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
Pros
  • + Best document parsing quality
  • + Supports every format
  • + RAG-optimized output
  • + Active development
  • + API + local options
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
Cons
  • Heavy dependencies
  • Slow for large document sets
  • API pricing per page
  • Complex configuration
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
Tags
etldocumentsparsingopen-source
ragdataindexingopen-source

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