"Graph engineering" is having a moment, but it's not a new ...
Quick Answer
Graph engineering is gaining traction with LangGraph, where nodes can represent deterministic code, LLM calls, or agents with internal loops.
Quick Take
This approach enhances the flexibility and functionality of AI systems, allowing for more complex interactions and workflows.
Key Points
- LangGraph nodes can be deterministic code, calls, or full agents.
- Edges in LangGraph define the relationships and workflows between nodes.
- This approach allows for more complex AI interactions and functionalities.
- Graph engineering is not a new concept but is currently trending.
Article Excerpt
From source RSS / original summaryIn LangGraph, nodes do work. A node can be deterministic code, a single call, a tool call, or a full agent with its own internal loop. Edges define what
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