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Learn n8n workflow automation
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Module 9
AI and LLM Integrations
1
Building a Text Generation Workflow with OpenAI API
Connect to the OpenAI API to build a text generation workflow.
2
AI for Text Analysis
Use AI to classify, summarize, or extract structured data from unstructured text.
3
Managing Chat History in AI Workflows
Manage conversation history for stateful, chat-based AI workflows.
4
RAG and Vector Databases Explained
Describe the Retrieval-Augmented Generation (RAG) pattern and the role of vector databases.
5
Building a Basic RAG Workflow
Build a basic RAG workflow: populate a vector store and retrieve context for an LLM prompt.
6
Multi-Step AI Agent Chains for Complex Reasoning
Implement multi-step AI agent chains for complex reasoning tasks.
7
Optimizing LLM API Usage: Rate Limits and Token Efficiency
Handle LLM API rate limits and implement strategies to optimize token usage.
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Modular and Reusable Workflows
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Self-Hosting n8n with Docker