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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Servizi Inclusi

flowise

flowiseai/flowise:latest

riavvio: always

Porte: 3001:3000

volumi: 1 mount

Env vars: 10

healthcheck

Variabili d'Ambiente:

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 Generato

# 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

Informazioni Rapide

Servizi: 1
Reti: 1
Volumi: 1

Quando Usarlo

Questo template è ideale per configurare un ambiente flowise Tutti i servizi sono preconfigurati con healthchecks, limiti di risorse e valori predefiniti sensati. Personalizza le variabili d'ambiente prima di fare il deploy in produzione.

Consigli

Cambia tutte le password predefinite prima del deploy
Verifica i limiti di risorse per il tuo hardware
Aggiungi un reverse proxy per HTTPS in produzione
Configura strategie di backup per i volumi di dati

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