Hire Elite LangChain Engineers
Architect scalable, production-grade LLM backends with the world's most popular framework
Why Choose LangChain?
LangGraph Agents
Build stateful, multi-actor applications with cyclic graph logic for complex task automation.
Universal Integrations
Connect to over 900+ tools, databases, and APIs instantly through community and partner packages.
Advanced RAG
Implement hybrid search, parent-document retrieval, and self-querying retrievers for high precision.
LangSmith Observability
Debug, test, and monitor your chains in production to optimize latency and token usage.
What You Can Build
Real-world LangChain automation examples
Autonomous AML Investigation Agent
Revolutionizing AML with AI-Driven Efficiency and Precision
Clinical Trial Recruitment Matcher
Revolutionizing patient-trial matching with AI-powered semantic search.
Contract Review & Redlining Agent
Streamline contract review with AI for 85% faster processing.
Pricing Insights
Platform Cost
Service Price Ranges
LangChain vs Alternatives
| Feature | Langchain | Dify | Llamaindex |
|---|---|---|---|
| Flexibility | Maximum (Code-first) | Medium (Visual builder) | High (Data focused) |
| Agent Orchestration | Best-in-class (LangGraph) | Linear/Basic loops | Data agents |
| Learning Curve | Steep (Requires Python/JS) | Low (No-code friendly) | Medium |
Learning Resources
Master LangChain automation
LangChain Python Docs
Official API reference and conceptual guides.
Learn More →LangChain JS/TS Docs
Documentation for the JavaScript/TypeScript library.
Learn More →LangSmith Documentation
Observability and testing for LLM applications.
Learn More →DeepLearning.AI LangChain Course
Free course by Harrison Chase and Andrew Ng.
Learn More →Frequently Asked Questions
Python vs JavaScript: Which version should I use?
Python is generally recommended for data-heavy applications and has slightly faster feature parity. JavaScript (LangChain.js) is excellent for edge computing, Vercel deployments, and frontend-heavy apps.
What is the difference between LangChain and LlamaIndex?
LangChain is a general-purpose orchestration framework emphasizing 'compute' and agents. LlamaIndex specializes in 'data'—ingesting, indexing, and retrieving private data for LLMs. Many projects use both.
Is LangChain production-ready?
Yes. With the introduction of LangChain v0.2+ and LangGraph, the API has stabilized significantly. Major enterprises use it to power internal tools and customer-facing products, typically deployed via Docker or LangServe.
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