Building Agentic Systems Using LangGraph and LangChain - Live Class 2 (Unedited) | October 6, 2024

Описание: On 6th October, we delved into essential LangGraph concepts and hands-on projects, enhancing our practical skills in AI agent development. This session focused on understanding how to structure workflows, execute AI-driven tasks, and build AI pipelines using LangChain and LangGraph.

1. 01 Conditional Edges
In this module, we explored how to implement conditional edges to guide task flows based on dynamic conditions within LangGraph. This allows for greater flexibility and customization in automating processes.
https://github.com/panaversity/learn-...

2. 2.1 LLM Actions and Structure Messages
We also covered how Large Language Models (LLMs) handle actions and structure messages, ensuring precise task execution in AI-driven workflows. This is crucial for building robust AI systems that communicate and perform actions efficiently.
https://github.com/panaversity/learn-...

3. Project Completed
We completed a hands-on project where we built an AI pipeline for text analysis using LangGraph. This project allowed us to apply theoretical concepts to a real-world scenario, enhancing our understanding of building and managing AI-driven agent pipelines.
https://github.com/panaversity/learn-...

This session not only built a solid foundation in LangGraph and LangChain ecosystems but also provided practical, project-based experience in developing and managing AI agent pipelines.

#ai #generativeai #agents #langchain #langgraph #agentic-systems #aiprogress #saas