Build context-aware AI applications with enterprise-grade control
LangChain provides a flexible framework to create AI apps powered by large language models (LLMs). Its LangGraph Platform helps deploy complex agent workflows at scale, while LangSmith offers essential tools for testing and monitoring AI performance. Together, they help teams transition from prototypes to production-ready solutions while maintaining data security.
Modular system for building custom LLM-powered applications
Design multi-agent workflows with human-in-the-loop controls
Debugging and monitoring tools for AI performance tracking
Swap LLM providers without rebuilding entire systems
Provides framework for building contextual applications rather than just model access
Primarily designed for developers building production LLM systems
Adds engineering rigor through testing and monitoring workflows for LLM apps
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Recent data shows that LangChain has 3.0M monthly visits (17.3% increase from the previous month), 45.0% bounce rate, and average 5.92 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 18% of total traffic. SEO performance is shown by 5 tracked keywords, with "langchain" being the top-performing keyword with 502.7K monthly searches. See below for more info.
Monthly Visits
3.0M
Pages per Visit
5.92
Bounce Rate
45.0%
Average Time on Site
5m 45s
| SEO Keyword | Volume | CPC |
|---|---|---|
| langchain | 502.7K | $1.24 |
| langgraph | 188.2K | $1.94 |
| langsmith | 92.8K | $2.45 |
| langchain documentation | 15.9K | $0.99 |
| context engineering | 82.6K | - |
| Source | Traffic Share |
|---|---|
| Direct | 41% |
| Search | 52% |
| Social | 1% |
| Referrals | 6% |
| Country Name | Traffic Share |
|---|---|
 | 18% |
 | 16% |
 | 12% |
 | 5% |
 | 4% |
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