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Integration Examples

This guide provides practical examples of common integration scenarios with Gentic.

Customer Support System​

Knowledge Sources​

// Connect support documentation
const docsSource = await client.createKnowledgeSource({
  name: 'Support Docs',
  type: 'document',
  config: {
    path: './docs/support',
    format: 'markdown'
  }
});

// Connect ticket database
const ticketSource = await client.createKnowledgeSource({
  name: 'Ticket System',
  type: 'postgresql',
  config: {
    host: 'localhost',
    port: 5432,
    database: 'support',
    table: 'tickets'
  }
});

Workflow​

const supportWorkflow = await client.createWorkflow({
  name: 'Ticket Resolution',
  steps: [
    {
      type: 'classify',
      input: '{{user_message}}',
      categories: ['billing', 'technical', 'account']
    },
    {
      type: 'search',
      query: '{{classification}} {{user_message}}',
      sources: ['support_docs', 'ticket_history']
    },
    {
      type: 'generate',
      prompt: 'Based on the search results, provide a solution',
      context: {
        ticket_type: '{{classification}}',
        user_history: '{{user_tickets}}'
      }
    },
    {
      type: 'action',
      name: 'update_ticket',
      params: {
        status: 'resolved',
        solution: '{{generated_solution}}'
      }
    }
  ]
});

E-commerce Recommendation System​

Knowledge Sources​

// Connect product catalog
const productSource = await client.createKnowledgeSource({
  name: 'Product Catalog',
  type: 'mongodb',
  config: {
    uri: 'mongodb://localhost:27017',
    database: 'ecommerce',
    collection: 'products'
  }
});

// Connect user behavior data
const behaviorSource = await client.createKnowledgeSource({
  name: 'User Behavior',
  type: 'bigquery',
  config: {
    projectId: 'ecommerce-project',
    dataset: 'user_analytics',
    table: 'behavior'
  }
});

Workflow​

const recommendationWorkflow = await client.createWorkflow({
  name: 'Product Recommendations',
  steps: [
    {
      type: 'analyze',
      input: '{{user_profile}}',
      task: 'user_preferences'
    },
    {
      type: 'search',
      query: '{{preferences}}',
      source: 'product_catalog',
      filters: {
        in_stock: true,
        price_range: '{{user_price_range}}'
      }
    },
    {
      type: 'rank',
      items: '{{search_results}}',
      criteria: ['relevance', 'popularity', 'price']
    },
    {
      type: 'generate',
      prompt: 'Create personalized product recommendations',
      context: {
        user_preferences: '{{preferences}}',
        ranked_products: '{{ranked_results}}'
      }
    }
  ]
});

Content Management System​

Knowledge Sources​

// Connect content repository
const contentSource = await client.createKnowledgeSource({
  name: 'Content Repository',
  type: 'github',
  config: {
    owner: 'organization',
    repo: 'content',
    branch: 'main'
  }
});

// Connect media storage
const mediaSource = await client.createKnowledgeSource({
  name: 'Media Storage',
  type: 's3',
  config: {
    bucket: 'media-content',
    region: 'us-east-1'
  }
});

Workflow​

const contentWorkflow = await client.createWorkflow({
  name: 'Content Publishing',
  steps: [
    {
      type: 'validate',
      input: '{{content}}',
      rules: ['format', 'style', 'seo']
    },
    {
      type: 'transform',
      input: '{{content}}',
      operations: ['optimize_images', 'format_markdown']
    },
    {
      type: 'generate',
      prompt: 'Create meta description and tags',
      context: {
        content: '{{transformed_content}}'
      }
    },
    {
      type: 'publish',
      content: '{{transformed_content}}',
      metadata: '{{generated_metadata}}'
    }
  ]
});

Data Analytics Pipeline​

Knowledge Sources​

// Connect data warehouse
const warehouseSource = await client.createKnowledgeSource({
  name: 'Data Warehouse',
  type: 'snowflake',
  config: {
    account: 'company.snowflakecomputing.com',
    warehouse: 'ANALYTICS',
    database: 'ANALYTICS_DB'
  }
});

// Connect visualization tool
const vizSource = await client.createKnowledgeSource({
  name: 'Visualization',
  type: 'tableau',
  config: {
    server: 'https://tableau.company.com',
    site: 'Analytics'
  }
});

Workflow​

const analyticsWorkflow = await client.createWorkflow({
  name: 'Daily Analytics',
  trigger: {
    type: 'schedule',
    config: {
      cron: '0 6 * * *' // Daily at 6 AM
    }
  },
  steps: [
    {
      type: 'query',
      sql: 'SELECT * FROM daily_metrics',
      source: 'data_warehouse'
    },
    {
      type: 'transform',
      input: '{{query_results}}',
      operations: ['aggregate', 'calculate_kpis']
    },
    {
      type: 'generate',
      prompt: 'Create insights from the data',
      context: {
        metrics: '{{transformed_data}}',
        trends: '{{historical_comparison}}'
      }
    },
    {
      type: 'update',
      target: 'dashboard',
      data: '{{insights}}'
    }
  ]
});

Next Steps​