Video course · 12 chapters · 76 min · certificate
N8N AI Agent Nodes: Practical Workflow Automation and Memory Guide
A complete guide to n8n's AI nodes: setting up an agent, memory and models, unique session identifiers, Postgres memory via Supabase, conversation management, knowledge bases with vector stores, the OpenAI node, JSON output, basic LLM chains, information extraction and intent classification.
What you'll learn
- Configure AI Agent nodes with models and memory
- Use unique session IDs
- Store memory in Postgres/Supabase
- Build and fill a knowledge base
- Get reliable JSON output
- Use chains, extractors and classifiers
Chapters
12 chapters · 76:05-
3:00
01Intro Members
Introduction and setting up
A complete AI nodes guide.
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2:52
02Config Members
Memory and models
Agent components.
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5:44
03Sessions Members
Unique identifiers
The most important concept.
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3:26
04Postgres Members
Supabase connection
Production memory.
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3:19
05Credentials Members
Connecting memory credentials
Tools and credentials.
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7:51
06Memory Members
Conversation management
Seeing stored chats.
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10:51
07RAG Members
Knowledge base implementation
Vector stores.
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9:09
08Ingestion Members
Adding data to the knowledge base
Loading documents.
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4:25
09OpenAI Members
OpenAI node configuration
Settings that apply everywhere.
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5:43
10Output Members
Handling JSON output
Structured responses.
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6:07
11Chains Members
Advanced chains and extraction
Basic LLM chain and extractor.
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13:38
12Classify Members
Intent classification
Routing by intent.
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