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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Enthaltene Services

flowise

flowiseai/flowise:latest

Neustart: always

Ports: 3001:3000

Volumes: 1 mount

Env vars: 10

healthcheck

Umgebungsvariablen:

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:-}

Generiertes YAML

# 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

Kurzinfo

Services: 1
Netzwerke: 1
Volumes: 1

Wann verwenden

Dieses Template ist ideal für die Einrichtung einer flowise Umgebung. Alle Services sind mit Healthchecks, Ressourcenlimits und sinnvollen Standardwerten vorkonfiguriert. Passen Sie die Umgebungsvariablen an, bevor Sie in Produktion gehen.

Tipps

Ändern Sie alle Standardpasswörter vor dem Deployment
Überprüfen Sie die Ressourcenlimits für Ihre Hardware
Fügen Sie einen Reverse Proxy für HTTPS in Produktion hinzu
Konfigurieren Sie Backup-Strategien für Daten-Volumes

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