LangChain

The open agent engineering ecosystem covering the full lifecycle from build to m

Visit official site docs.langchain.com
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What is LangChain?

LangChain provides open source, model-agnostic harnesses for building agents.It allows developers to control every layer of their agent system and keep improving it with insights learned in production.

Beyond the core frameworks, LangChain offers LangSmith, a framework-agnostic platform for testing, deploying, monitoring, and improving agents across the development lifecycle.Whether building deep agents with code or using LangSmith Fleet for no-code solutions, LangChain supports diverse development needs.

The ecosystem covers the entire agent development lifecycle: Build, Test, Deploy, and Monitor.It includes tools like LLM Gateway for routing traffic and Agent Registry for governing agents.Developers can also access free courses via LangChain Academy and engage with the community forum.

Key features

  • Open Source AgenBuild agents with Managed Deep Agents, Deep Agents, LangChain, and LangGraph, offering flexibility for complex AI agent development.
  • Full Lifecycle MTest, evaluate, deploy, and monitor agents with LangSmith, covering the entire process from development to production.
  • LLM GatewayRoute, control, and observe LLM traffic across providers to optimize cost and performance.
  • No-Code AgentsBuild and run agents without code using LangSmith Fleet, lowering the barrier to entry for development.
  • Automated FixingLangSmith Engine automatically finds and fixes recurring agent issues, enhancing system stability.
  • Agent RegistryRegister, organize, and govern every agent in one place, regardless of where it is hosted, for unified management.

How to use it

  1. Visit the LangChain docs home page to understand the basics of the open agent engineering ecosystem.
  2. Choose your development path: use LangChain/LangGraph for coding or LangSmith Fleet for no-code building.
  3. Evaluate your agents with LangSmith using datasets and prompt engineering to optimize performance.
  4. Deploy your agents and set up LLM Gateway to route and monitor traffic.
  5. Monitor agent traces in production with LangSmith to debug and observe performance.
  6. Join LangChain Academy to learn best practices or seek help via the community forum.

Where it fits

  • Enterprise AgentBuild secure and reliable AI agents for enterprises using LangSmith's governance features and compliance support (HIPAA, SOC 2).
  • Rapid PrototypinQuickly build and test agent ideas using the no-code tool LangSmith Fleet, without needing deep programming skills.
  • Production MonitTrace and debug agents in production with LangSmith to promptly identify and resolve performance drops or errors.

Pricing and free quota

Pricing and any free quota follow the official site.

Who it is for

  • AI Application Developers
  • Machine Learning Engineers
  • Enterprise Tech Teams
  • No-Code Enthusiasts

FAQ

What is the difference between LangChain and LangSmith?

LangChain is an open-source framework for building agents, while LangSmith is a platform for testing, deploying, monitoring, and improving agents.Together they form a complete development ecosystem.

Can I build agents without coding?

Yes, you can build and run agents without code using LangSmith Fleet.

What compliance standards does LangChain support?

According to the Trust Center, LangChain supports HIPAA, SOC 2 Type 2, and GDPR compliance.

Tags

  • AI Agents
  • LLM Development

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