Which is more popular, LangChain or LlamaIndex?

LlamaIndex has more GitHub stars (52,384 vs 18,245).

Which is more actively developed, LangChain or LlamaIndex?

LangChain had more commits in the last 90 days (182 vs 98).

Should I use LangChain or LlamaIndex?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

LangChain vs LlamaIndex

Side-by-side comparison of two AI agent tools

Short answer

LlamaIndex is growing faster: +686 GitHub stars in the last 30 days vs +142 for LangChain.
Pick LangChain for: the agent engineering platform. Pick LlamaIndex for: llamaIndex is the leading document agent and OCR platform.

From GitHub data refreshed daily.

LangChainopen-source

The agent engineering platform

LlamaIndexopen-source

LlamaIndex is the leading document agent and OCR platform

Metrics

	LangChain	LlamaIndex
Stars	18.2k	52.4k
Star velocity /mo	142.06349206349208	685.7142857142858
Commits (90d)	182	98
Releases (6m)	10	5
Overall score	0.7045885680298942	0.7310009941978476

Pros

+模型互操作性强，支持轻松切换不同LLM模型，适应技术发展变化
+集成生态丰富，提供大量模型提供商、工具和向量存储的现成集成
+生产就绪特性完备，内置监控、评估和调试支持，便于部署可靠的应用

+社区活跃且成熟，拥有48,058 GitHub星标和大量贡献者
+专注于文档代理和OCR功能，为文档处理提供专业解决方案
+持续维护和更新，具有完整的CI/CD流程和多平台支持

Cons

-框架抽象层可能引入额外的性能开销和复杂性
-依赖众多外部服务和集成，可能存在版本兼容性问题
-对于简单LLM调用场景可能过于复杂，学习曲线较陡峭

-从提供的信息中无法确定具体的技术限制和使用约束
-缺乏详细的功能描述和技术规格说明

Use Cases

•构建需要实时数据增强的RAG应用，连接多种数据源和外部系统
•快速原型开发LLM应用，测试不同模型和工作流而无需重构
•开发复杂的代理系统和可控制的AI工作流程，支持多步骤推理

•构建能够读取和理解文档内容的AI代理系统
•开发需要OCR功能的应用程序进行文本提取
•创建文档智能处理和分析的解决方案

View LangChain Details View LlamaIndex Details

FAQ

Which is more popular, LangChain or LlamaIndex?: LlamaIndex has more GitHub stars (52,384 vs 18,245).
Which is more actively developed, LangChain or LlamaIndex?: LangChain had more commits in the last 90 days (182 vs 98).
Should I use LangChain or LlamaIndex?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.