LangChain
What is LangChain?
Discover how LangChain can enhance your workflow
Key Capabilities
What makes LangChain powerful
Agent primitives
Use tools memory routing and guards to build agents that recover from failures and expose clear state for debugging.
LangGraph workflows
Design stateful graphs with retries timeouts and human steps so long running processes remain predictable.
Tracing and evals
Capture spans tokens errors and dataset runs to measure cost quality and drift across releases.
Managed platform
Run agents with quotas policies and audit so operations teams can govern access and scale safely.
Key Features
What makes LangChain stand out
- Agent building blocks for tools memory and routing with templates and guards
- Graph based orchestration that models state steps and recovery
- Observability and evaluation with traces datasets and metrics
- Managed deployment for running agents with quotas and policies
- Integrations for models vector stores retrievers and tools
- Cost tracking tokens and latency dashboards for operators
- SDKs for Python and TypeScript to ship multi platform agents
- Examples recipes and docs that shorten time to production
Use Cases
How LangChain can help you
- Stand up a retrieval augmented assistant with tool use and evals
- Run human in the loop workflows that enforce approvals
- Migrate prototypes from notebooks into traced services
- Standardize agent patterns across teams and languages
- Track costs and failures with span level visibility
- Stress test prompts and tools before a product launch
- Instrument CI to prevent quality regressions
- Deploy agents behind policies SLAs and audit
Perfect For
software engineers platform teams data engineers solution architects and researchers building production grade agentic applications
Plans & Pricing
Free / Usage-based
Visit official site for current pricing
Quick Information
Compare LangChain with Alternatives
See how LangChain stacks up against similar tools
Frequently Asked Questions
How does pricing start for LangSmith and deployment?
Can I use LangSmith without LangChain?
What languages are supported for the SDKs?
Does LangChain support evaluation at scale?
How do I keep costs under control?
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