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AI Tool Comparison
LangChain vs LlamaIndex
A side-by-side breakdown to help you pick the right tool for your workflow.
LangChain
Assemble LLM-powered apps and agents from composable building blocks, with LangSmith adding tracing, evaluation, and deployment. Platform rebranded — LangGraph Platform is now LangSmith Deployment.
Developer Tools
freemium
LlamaIndex
Connect your own data to LLMs for retrieval-augmented generation — LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.
Developer Tools
freemium
Bottom Line
LangChain and LlamaIndex are rated evenly — the right pick comes down to which workflow you're running.
Choose LangChain if…
Developer Tools
Choose LlamaIndex if…
Developer Tools
| Attribute | LangChain | LlamaIndex |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| Pricing | freemium | freemium |
| Pricing Detail | Free (5K traces) / $39/seat/mo Plus / Enterprise custom | Free (10K credits) / $5,000/mo Starter cap / Pro custom |
| Rating |
Key Features
LangChain
- Chains and agents
- Retrieval (RAG) primitives
- Memory and tool integrations
- LangSmith observability
LlamaIndex
- Data ingestion and indexing
- Advanced retrieval and query engines
- Agents and workflows
- LlamaCloud and LlamaParse
Pros
LangChain
- •Huge integration ecosystem
- •Rapid prototyping
- •Strong community
LlamaIndex
- •Best-in-class for RAG
- •Many data connectors
- •Good query abstractions
Cons
LangChain
- Abstractions can be heavy
- Frequent API changes
LlamaIndex
- Overlaps with LangChain
- Learning curve for advanced features