n8n and Langflow Integration Training for Developers and Analysts
The training focuses on the practical integration of the n8n platform with the Langflow engine to design intelligent agents, orchestrate complex decision-making processes, and deploy advanced language models in real business scenarios. The training plan covers the following points:
Solution Architecture and Environment Configuration
- Installation and connection of n8n and Langflow instances (hybrid and cloud setup),
- Security management: handling API keys and environment variables,
- Distinction of roles: n8n as the process orchestrator, Langflow as the AI inference engine.
Data and Process Orchestration in n8n
- Preparation and cleaning of input data before sending it to the AI model,
- Handling external events (Webhooks, CRM, messengers) initiating agent work,
- Workflow control based on decisions returned by LangFlow (conditional logic).
Designing AI Logic in Langflow
- Creating processing chains (Chains) in a visual no-code interface,
- Managing conversation context and long-term model memory,
- Prompt optimization and selection of appropriate parameters for LLM models.
Building Intelligent Assistants and RAG Systems
- “Chat with Docs” integration – working on proprietary document sets and knowledge bases,
- Deployment of conversational agents to messengers (Slack, MS Teams),
- Automation of document analysis and generation of business reports.
Practical Implementation Scenarios
- Travel Assistant: Real-time speech translation and image analysis,
- Financial Analyst: Retrieving stock market data and creating summaries for the board,
- Customer Support: Autonomous query handling and ticket classification.