LangChain vs LlamaIndex
How LangChain and LlamaIndex compare on real-world demand, licensing, adoption and positioning — straight from the Agent Reality Index.
| Dimension | LangChain | LlamaIndex |
|---|---|---|
| Agent Reality Index | 77.0 / 100 (#1) | 60.2 / 100 (#4) |
| Monthly search demand | ~61k/mo | ~8.1k/mo |
| Licensing | Open-source | Open-source |
| Developer adoption | 180k★ on GitHub | 53k★ on GitHub |
| Positioning | Low-level / composable · Single-agent | High-level / opinionated · Single-agent |
The verdict
LangChain leads LlamaIndex on the Agent Reality Index (77.0 vs 60.2), 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 →