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LlamaIndex vs AutoGen(2026)

LlamaIndex is better for teams that need best-in-class for rag. AutoGen is the stronger choice if best for multi-agent scenarios. LlamaIndex is open-source (from $0) and AutoGen is open-source (from $0).

Full feature breakdown, pricing details, and pros & cons below.

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LlamaIndex logo

LlamaIndex

open-source

LlamaIndex is a data framework for LLM applications specializing in connecting LLMs to external data sources — with best-in-class RAG pipelines, data connectors, and indexing strategies.

Starting at $0

Visit LlamaIndex
AutoGen logo

AutoGen

open-source

AutoGen is Microsoft's open-source framework for building multi-agent LLM applications where agents converse with each other, use tools, and collaborate to complete complex tasks.

Starting at $0

Visit AutoGen

How Do LlamaIndex and AutoGen Compare on Features?

FeatureLlamaIndexAutoGen
Pricing modelopen-sourceopen-source
Starting price$0$0
RAG pipelines
100+ data connectors
Multi-modal support
Agents
Query engines
Observability
Python + TypeScript
Multi-agent conversations
Human-in-the-loop
Code execution
Tool use
GroupChat orchestration
Async support
Studio UI

LlamaIndex Pros and Cons vs AutoGen

L

LlamaIndex

+Best-in-class for RAG
+Rich data connectors
+Strong enterprise adoption
+Active development
Steeper learning curve than LangChain
More complex for simple use cases
Smaller community
A

AutoGen

+Best for multi-agent scenarios
+Microsoft backing
+Active research community
+Flexible agent roles
Complex to debug
High token usage with many agents
Not ideal for simple pipelines

Should You Use LlamaIndex or AutoGen?

Choose LlamaIndex if…

  • Best-in-class for RAG
  • Rich data connectors
  • Strong enterprise adoption

Choose AutoGen if…

  • Best for multi-agent scenarios
  • Microsoft backing
  • Active research community

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