Frameworks

LangChain vs LlamaIndex

TL;DR

How LangChain and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.

Agent Reality Index

LangChain#1 in Frameworks · 79.5 / 100 LlamaIndex#3 in Frameworks · 65.0 / 100

Dimension	LangChain	LlamaIndex
Agent Reality Index	79.5 / 100 (#1)	65.0 / 100 (#3)
Monthly search demand	~91k/mo	~13k/mo
Licensing	Open-source	Open-source
Developer adoption	187k★ on GitHub	55k★ on GitHub
Positioning	Low-level / composable · Single-agent	High-level / opinionated · Single-agent

The verdict

LangChain leads LlamaIndex on the Agent Reality Index (79.5 vs 65.0), driven mainly by stronger real-world search demand — the heaviest factor in the index. LlamaIndex remains a credible choice where its positioning fits your workflow better; the row above shows where the two diverge.

Figures auto-generated from the Agent Reality Index and refreshed monthly. How the index is built →

Frequently asked questions

What is the difference between LangChain and LlamaIndex?

How LangChain and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.

Is LangChain or LlamaIndex better?

How do LangChain and LlamaIndex compare on the Agent Reality Index?

On the Agent Reality Index, LangChain scores 79.5 of 100 (ranked #1 in Frameworks) and LlamaIndex scores 65.0 of 100 (#3 in Frameworks). The index weights real-world demand most heavily and refreshes monthly.