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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 logo

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
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LlamaIndex logo

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
Visit site Full review →

Bottom Line

Last reviewed: August 2026

LangChain and LlamaIndex both compete in Developer Tools, overlapping most directly on developer Tools. Both carry the same 4.4 rating, so the decision comes down to fit, not quality.

Choose LangChain if…

Best for developers building custom applications on top of large language models, and its edge is composable chains, agents, and memory abstractions that cut LLM app code from hundreds of lines to dozens. The standard starting framework for LLM app development, expect the API to keep shifting under you.

Choose LlamaIndex if…

Best for developers building retrieval-augmented generation apps that need to query private or enterprise data, and its edge is a wide library of data connectors that ingest PDFs, wikis, and databases into a queryable index. The strongest RAG-specific framework available, expect real overlap and some redundant decisions against LangChain.

AttributeLangChainLlamaIndex
CategoryDeveloper ToolsDeveloper Tools
Pricingfreemiumfreemium
Pricing DetailFree (5K traces) / $39/seat/mo Plus / Enterprise customFree (10K credits) / $5,000/mo Starter cap / Pro custom
Rating4.44.4

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

Read the Full Reviews

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