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.

Ouvrir dans l'Éditeur Tous les Modèles1 services · 1 réseaux · 1 volumes

Services Inclus

flowise

flowiseai/flowise:latest

redémarrage: always

Ports : 3001:3000

volumes: 1 mount

Env vars: 10

healthcheck

Variables d'Environnement :

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 Généré

# 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

Informations Rapides

Services: 1
Réseaux: 1
Volumes: 1

Quand l'Utiliser

Ce modèle est idéal pour mettre en place un environnement flowise Tous les services sont préconfigurés avec des healthchecks, des limites de ressources et des valeurs par défaut raisonnables. Personnalisez les variables d'environnement avant de déployer en production.

Conseils

Changez tous les mots de passe par défaut avant le déploiement
Vérifiez les limites de ressources pour votre matériel
Ajoutez un reverse proxy pour le HTTPS en production
Configurez des stratégies de sauvegarde pour les volumes de données

Ouvrir dans l'Éditeur