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LangChain
About LangChain
LangChain es un marco para desarrollar aplicaciones impulsadas por modelos de lenguaje. Crea aplicaciones conscientes del contexto y con razonamiento mediante cadenas, agentes y memoria para flujos de trabajo de IA complejos.
Tags
#marco de desarrollo#LLM#Agente de IA#flujo de trabajo
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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
