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LangChain
About LangChain
LangChain est un framework pour développer des applications alimentées par des modèles de langage. Créez des applications contextuelles et raisonnées avec des chaînes, des agents et de la mémoire pour des flux de travail d'IA complexes.
Tags
#cadre de développement#LLM#Agent IA#flux de travail
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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
