Question 1

Is LangChain better than LlamaIndex?

Accepted Answer

It depends on your use case. LangChain is known for Framework for building applications with large language models, while LlamaIndex Data framework for connecting LLMs to external data. See our full comparison above for a detailed breakdown.

Question 2

Is LangChain free?

Accepted Answer

LangChain pricing: Free + LangSmith paid.

Question 3

Is LlamaIndex free?

Accepted Answer

LlamaIndex pricing: Free (open-source) + Cloud.

Question 4

What are the main differences between LangChain and LlamaIndex?

Accepted Answer

LangChain and LlamaIndex differ in features, pricing, and platform support. LangChain: Framework for building applications with large language models. LlamaIndex: Data framework for connecting LLMs to external data. See the full side-by-side comparison above for details.

Feature	LangChain	LlamaIndex
Category	AI Agent Frameworks	Data & ETL
Pricing	Free + LangSmith paid	Free (open-source) + Cloud
GitHub Stars	✓ More stars 98k	38k
Platforms	macOS, Linux, Windows	Linux, macOS, Windows
Key Features	✓ Chain composition ✓ RAG pipelines ✓ Agent toolkits ✓ Memory systems ✓ Streaming ✓ Multi-model ✓ LangGraph	✓ RAG pipelines ✓ Data connectors ✓ Indexing ✓ Query engine ✓ Agent tools
Pros	+ Massive ecosystem and community + Modular and composable + Supports every major LLM provider + Excellent documentation + LangSmith for monitoring	+ Best-in-class RAG framework + 100+ data connectors + Multiple index types + Great documentation + Active community
Cons	− Can be overly complex for simple tasks − Frequent breaking changes − Abstraction overhead − Steep learning curve	− Can be complex for simple use cases − Abstractions hide complexity − Learning curve for advanced features − Some features require LlamaCloud
Tags	open-sourceframeworkpythonjavascriptragchains	ragdataindexingopen-source

LangChainvsLlamaIndex

LangChain

LlamaIndex

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