Ryota-Kawamura/Functions-Tools-and-Agents-with-LangChain

You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.

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This course helps developers leverage advanced LLM capabilities for building conversational agents. It teaches how to use LangChain Expression Language (LCEL) to create applications that can perform tasks like data tagging, information extraction, and intelligent routing. Developers looking to build sophisticated AI applications with structured outputs will find this valuable.

No commits in the last 6 months.

Use this if you are a developer aiming to build or enhance AI applications that require LLMs to generate structured outputs or intelligently use external tools.

Not ideal if you are an end-user looking for a ready-to-use AI application, as this focuses on the development process.

AI-application-development LLM-integration conversational-AI data-extraction workflow-automation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 19 / 25

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Last pushed

Oct 28, 2023

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