flowiselangchainaichatbotlow-code

Flowise

Flowise is an open-source, low-code tool for building customized LLM orchestration flows and AI agents using a visual drag-and-drop interface. Built on top of LangChain and LlamaIndex, it allows you to create chatbots, RAG pipelines, multi-agent systems, and complex AI workflows without writing code. Flowise supports connections to OpenAI, Anthropic, Google, Ollama, HuggingFace, and many other LLM providers, as well as vector stores like Pinecone, Weaviate, Chroma, and PostgreSQL with pgvector. It provides built-in chat interface embedding, API endpoints for integration, conversation memory, document loaders, and credential management. All chatflows, credentials, and data are persisted in a named volume using SQLite by default. After deployment, access the visual builder on port 3001 to start creating your AI workflows by dragging and connecting nodes.

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Servicios Incluidos

flowise

flowiseai/flowise:latest

reinicio: always

Puertos: 3001:3000

volúmenes: 1 mount

Env vars: 10

healthcheck

Variables de Entorno:

PORT=3000

FLOWISE_USERNAME=${FLOWISE_USERNAME:-}

FLOWISE_PASSWORD=${FLOWISE_PASSWORD:-}

APIKEY_PATH=/root/.flowise

SECRETKEY_PATH=/root/.flowise

LOG_PATH=/root/.flowise/logs

LOG_LEVEL=${LOG_LEVEL:-info}

DATABASE_PATH=/root/.flowise

TOOL_FUNCTION_BUILTIN_DEP=${TOOL_FUNCTION_BUILTIN_DEP:-}

TOOL_FUNCTION_EXTERNAL_DEP=${TOOL_FUNCTION_EXTERNAL_DEP:-}

YAML Generado

# Generated by ComposeHub (composehub.dev)
name: flowise
services:
  flowise:
    image: flowiseai/flowise:latest
    restart: always
    ports:
      - 3001:3000
    volumes:
      - flowise_data:/root/.flowise
    environment:
      PORT: "3000"
      FLOWISE_USERNAME: ${FLOWISE_USERNAME:-}
      FLOWISE_PASSWORD: ${FLOWISE_PASSWORD:-}
      APIKEY_PATH: /root/.flowise
      SECRETKEY_PATH: /root/.flowise
      LOG_PATH: /root/.flowise/logs
      LOG_LEVEL: ${LOG_LEVEL:-info}
      DATABASE_PATH: /root/.flowise
      TOOL_FUNCTION_BUILTIN_DEP: ${TOOL_FUNCTION_BUILTIN_DEP:-}
      TOOL_FUNCTION_EXTERNAL_DEP: ${TOOL_FUNCTION_EXTERNAL_DEP:-}
    networks:
      - flowise
    healthcheck:
      test:
        - CMD-SHELL
        - wget --no-verbose --tries=1 --spider http://localhost:3000 || exit 1
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 30s
    deploy:
      resources:
        limits:
          cpus: "2.00"
          memory: 2048M
        reservations:
          cpus: "0.25"
          memory: 256M
    labels:
      com.composehub.description: Flowise AI workflow builder with drag-and-drop interface
networks:
  flowise:
    driver: bridge
volumes:
  flowise_data:
    driver: local

Información Rápida

Servicios: 1
Redes: 1
Volúmenes: 1

Cuándo Usar

Esta plantilla es ideal para configurar un entorno de flowise Todos los servicios vienen preconfigurados con healthchecks, límites de recursos y valores por defecto sensatos. Personaliza las variables de entorno antes de desplegar en producción.

Consejos

Cambia todas las contraseñas por defecto antes de desplegar
Revisa los límites de recursos para tu hardware
Añade un proxy inverso para HTTPS en producción
Configura estrategias de respaldo para los volúmenes de datos

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