Question 1

Is LlamaIndex better than LangChain?

Accepted Answer

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

Question 2

Is LlamaIndex free?

Accepted Answer

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

Question 3

Is LangChain free?

Accepted Answer

LangChain pricing: Free + LangSmith paid.

Question 4

What are the main differences between LlamaIndex and LangChain?

Accepted Answer

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

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

LlamaIndexvsLangChain

LlamaIndex

LangChain

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