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LangChain

LangChain is a powerful open-source framework designed to simplify the development of applications powered by large language models (LLMs). It provides a complete set of interoperable building blocks for creating context-aware, reasoning applications with vendor optionality. LangChain connects LLMs to company data and APIs, enabling rapid prototyping to production deployment with methods like RAG, agents, and complex orchestration workflows.

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Developer

LangChain is a company focused on building a comprehensive framework for developing applications with large language models (LLMs) thro…read more

Pricing and Plans

PlanPriceFeatures
LangChain FrameworkFree
  • Open-source framework
  • MIT license
  • All core LangChain features
  • Community support
  • 600+ integrations
  • Self-hosted deployment
LangSmith DeveloperFree
  • 1 developer seat
  • 5k traces per month included
  • 14-day trace retention
  • Debugging traces
  • Dataset collection
  • Testing and evaluation
  • Prompt management
  • Monitoring
LangSmith Plus$39
  • Up to 10 seats
  • 10k traces per month included
  • All Developer features
  • Higher rate limits
  • Up to 3 workspaces
  • Email support
  • Pay-as-you-go: $0.50/1k base traces, $5.00/1k extended traces
LangSmith EnterpriseContact us
  • Custom pricing
  • All Plus features
  • Custom SSO
  • SLA
  • Self-hosted deployment options
  • Custom rate limits
  • Team trainings
  • Shared Slack channel
  • Dedicated customer success manager
LangGraph Platform DeveloperFree
  • Self-hosted deployment
  • Up to 100k nodes executed per month
  • Horizontally scalable task queues
  • State and memory APIs
  • Real-time streaming
  • Assistants API
  • LangGraph Studio
LangGraph Platform Plus$0.001
  • Cloud SaaS deployment
  • Requires LangSmith Plus ($39/user/month)
  • 1 free Dev deployment included
  • Standby charges: $0.0007/min (Dev), $0.0036/min (Prod)
  • All Developer features
  • Cron scheduling
  • Auth to call LangGraph APIs
  • Smart caching
LangGraph Platform EnterpriseContact us
  • Custom pricing
  • Multiple deployment options
  • Fully self-hosted or hybrid
  • SLA for managed offerings
  • All Plus features
  • Team trainings
  • Shared Slack channel
  • Dedicated customer success engineer

System Requirements

Operating System
Windows, macOS, Linux, Any platform supporting Python
Memory (RAM)
8GB (minimum)
Processor
Modern multi-core processor
Disk Space
500MB for core libraries

AI Capabilities

LLM integration and abstraction
Agent construction and orchestration
Context and memory management
Tool and API integration
Document processing and retrieval
Reasoning and planning capabilities
Chain-of-thought implementation
Multi-step workflow automation