§ Comparison · Updated May 2026

LangChain vs LlamaIndex.

LangChain and LlamaIndex are frequently shortlisted together. Both compete in the ai agents space, so the right pick comes down to pricing model, ecosystem, and the specific features you'll lean on. This page lays out the spec sheet, an editor verdict, and answers to the questions people search before choosing.

§ Verdict

Highest rated

LangChain

Editor score 4.4/5 — leads on overall quality across our evaluation.

Best value

LangChain

open-source and self-hostable pricing — the lowest-friction option of the group.

Broadest feature set

LangChain

5 headline features — the most all-in-one option.

OSS / self-host

LangChain

Open-source — the only option in this group you can self-host or fork.

§ Spec sheet

Rating

LangChain

4.4

LlamaIndex

4.3

Pricing

LangChain

Open source

LlamaIndex

Freemium

Category

LangChain

AI Agents

LlamaIndex

AI Agents

Features

LangChain

• Composable LLM application framework
• Agent and tool use support
• RAG and retrieval pipelines
• LangSmith for debugging and monitoring
• Python and JavaScript SDKs

LlamaIndex

• Data connectors for 160+ sources
• Advanced indexing strategies
• Production-grade RAG pipelines
• Agent framework with tool use
• LlamaCloud for managed parsing

Pros

LangChain

+ Largest LLM framework ecosystem
+ Excellent documentation
+ Huge integration library

LlamaIndex

+ Best-in-class for data and RAG
+ Great data connector library
+ Clean API design

Cons

LangChain

− Can be over-abstracted for simple tasks
− Frequent breaking changes
− Learning curve for the full framework

LlamaIndex

− Narrower scope than LangChain
− Less community content
− Complex for simple use cases

Use Cases

LangChain

Building RAG applicationsCreating AI agentsLLM application developmentPrototyping AI workflows

LlamaIndex

Enterprise knowledge basesDocument Q&A systemsData-heavy AI applicationsRAG pipeline development

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LangChain

LlamaIndex

	LangChain The most popular framework for building LLM applications — chains, agents, and RAG made easy.	LlamaIndex Data framework and managed services for RAG, agents, document parsing, and knowledge apps.
Rating	4.4	4.3
Pricing	Open source	Freemium
Category	AI Agents	AI Agents
Features	• Composable LLM application framework • Agent and tool use support • RAG and retrieval pipelines • LangSmith for debugging and monitoring • Python and JavaScript SDKs	• Data connectors for 160+ sources • Advanced indexing strategies • Production-grade RAG pipelines • Agent framework with tool use • LlamaCloud for managed parsing
Pros	+ Largest LLM framework ecosystem + Excellent documentation + Huge integration library	+ Best-in-class for data and RAG + Great data connector library + Clean API design
Cons	− Can be over-abstracted for simple tasks − Frequent breaking changes − Learning curve for the full framework	− Narrower scope than LangChain − Less community content − Complex for simple use cases
Use Cases	Building RAG applicationsCreating AI agentsLLM application developmentPrototyping AI workflows	Enterprise knowledge basesDocument Q&A systemsData-heavy AI applicationsRAG pipeline development
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§ Best for

Pick LangChain for

AI developers who need building rag applications.

Read full review →

Pick LlamaIndex for

Data engineers who need enterprise knowledge bases.

Read full review →

§ Common questions

LangChain vs LlamaIndex — which is better?

It depends on what you're optimizing for. LangChain edges LlamaIndex on our editor rating (4.4 vs 4.3), but ratings are a coarse signal. The verdict above breaks down which one wins for budget, feature breadth, and self-hosting.

Are these tools free?

Yes — every tool here has a free or freemium tier. The differences are in usage limits, advanced features, and how aggressive each free tier is.

When should I pick LangChain over LlamaIndex?

Pick LangChain when building rag applications matters more than LlamaIndex's strengths in enterprise knowledge bases. The "best for" callouts above translate this into concrete personas.

Are there other tools to consider?

Yes — every tool in this comparison has its own alternatives page that ranks the closest competitors. Click any tool name to drill into its full review and alternatives list.

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Editorial verdicts, not algorithmicDisagree? Tell us →