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LangChain
About LangChain
LangChain은 언어 모델로 구동되는 애플리케이션 개발을 위한 프레임워크입니다. 체인, 에이전트 및 메모리를 활용하여 복잡한 AI 워크플로우를 위한 상황 인식 및 추론 애플리케이션을 구축하세요.
Tags
#개발 프레임워크#LLM#AI 에이전트#워크플로우
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LangChain Core Features
Modular Chains — Compose multiple components like prompts, models, and output parsers into a single chain, enabling complex workflows with minimal code.
Agents and Tools — Create autonomous agents that can decide which tools to use based on user input, integrating with external APIs and data sources.
Memory Management — Persist and manage conversation history across interactions, allowing for context-aware responses in chat applications.
Model Agnostic — Support for various LLMs (OpenAI, Anthropic, Hugging Face, etc.) with a unified interface, making it easy to switch providers.
Document Loaders and Indexes — Load, transform, and index documents from multiple sources (PDFs, websites, databases) for retrieval-augmented generation (RAG).
LangChain Expression Language (LCEL) — A declarative syntax for building chains with streaming, async, and parallel execution support, improving performance and readability.
Extensive Integrations — Integrate with vector stores (Pinecone, Weaviate), monitoring tools (LangSmith), and deployment platforms (LangServe) for production-ready apps.
LangChain Subscription Plan
Open Source (Free)
$0
- Full access to LangChain framework
- Community support
- Self-hosted deployment
LangSmith (Developer)
Free tier available; paid tiers start at $39/month
- Observability and tracing
- Evaluation and testing
- Monitoring and debugging
- Collaboration features
LangSmith (Enterprise)
Custom pricing
- Advanced security and compliance
- SSO and RBAC
- Dedicated support
- Custom deployment options
