·LangChain
Module 4 Lesson 1: What are Chains?
The Connection Logic. Understanding how LangChain 'links' prompts, models, and output parsers into a single executable object.
chains
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·LangChain
Module 4 Lesson 2: Single-Step Chains (LCEL Basics)
Piping the Brain. Learning how to use the | operator to create your first executable LangChain Expression Language chain.
·LangChain
Module 4 Lesson 3: Sequential Chains
Multi-Step reasoning. How to pipe the output of one LLM call directly into the input of a second LLM call.
·LangChain
Module 4 Lesson 4: Router Chains
Dynamic Decision Making. How to use an LLM to decide which sub-chain should handle a specific user request.
·LangChain
Module 4 Lesson 5: Chain Composition and Aggregation
Parallel Reasoning. How to run multiple chains at the same time and combine their results into a final synthesized answer.
·LangChain
Module 4 Wrap-up: Designing Complex Flows
Hands-on: Build a Parallel-Sequential Research Chain that writes, reviews, and translates a report.
·LangChain
Module 7 Lesson 3: Building the RAG Chain
Piping Facts. Putting it all together into a single LCEL chain that retrieves context and generates an answer.