LlamaIndexvsPrivateGPT

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

PrivateGPT

Local AI Infrastructure

Interact with your documents privately using LLMs

FeatureLlamaIndexPrivateGPT
CategoryData & ETLLocal AI Infrastructure
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
38k
More stars
55k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows
Key Features
  • RAG pipelines
  • Data connectors
  • Indexing
  • Query engine
  • Agent tools
  • Document Q&A
  • 100% private
  • Local inference
  • RAG
  • Multi-format
Pros
  • + Best-in-class RAG framework
  • + 100+ data connectors
  • + Multiple index types
  • + Great documentation
  • + Active community
  • + 100% private and local
  • + No data leaves your machine
  • + Multiple document formats
  • + Good accuracy with RAG
  • + Easy Docker setup
Cons
  • Can be complex for simple use cases
  • Abstractions hide complexity
  • Learning curve for advanced features
  • Some features require LlamaCloud
  • Requires powerful hardware
  • Slower than cloud solutions
  • Limited model choices
  • UI is basic
Tags
ragdataindexingopen-source
privacyragdocumentsopen-source

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