LangChain & LangGraph Concepts You Should Know
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Here are five foundational LangChain and LangGraph concepts every AI engineer should understand. 1. Chains (The AI Workflow) A chain is a sequence of steps where the output of one step becomes the input of the next. Example: User Question ↓ Retrieve Documents ↓ LLM Generates Answer ↓ Format Response Think of it as a pipeline for AI tasks. 2. Tools (Giving AI Superpowers) LLMs only know what was in their training data. Tools let them interact with the outside world. Examples include: Search the…
1Key Takeaways
- Here are five foundational LangChain and LangGraph concepts every AI engineer should understand.
- Chains (The AI Workflow) A chain is a sequence of steps where the output of one step becomes the input of the next.
- Example: User Question ↓ Retrieve Documents ↓ LLM Generates Answer ↓ Format Response Think of it as a pipeline for AI tasks.
- Tools (Giving AI Superpowers) LLMs only know what was in their training data.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that here are five foundational LangChain and LangGraph concepts every AI engineer should understand.
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