Explore an advanced tutorial on upgrading a LangGraph AI agent with enhanced functionality and integrations. Learn how to incorporate Groq, Gemini, and Anthropic's Claude, fix common bugs, and create a stylish Chainlit front-end for a web-searching AI agent similar to Perplexity. Dive into topics such as atomized workflow, script refactoring, and seamless integration with various AI services. Follow along as the instructor demonstrates the upgraded agent's capabilities and provides insights into developing AI products. Gain practical knowledge on building sophisticated AI agents and stay up-to-date with the latest advancements in AI, Data Science, and Large Language Models.
LangGraph AI Agent Upgrade: Integrating Groq, Gemini, and Chainlit Front End
Data Centric via YouTube
Overview
Syllabus
Introduction:
Atomized Workflow:
Refactoring Agents Script:
Bug Fix:
Integrate with AI services:
Front-end:
Agent Demo:
Taught by
Data Centric
Related Courses
-
AI Agents in LangGraph
-
AI Agent - Open-Source Perplexity Alternative Using LangGraph and Advanced Prompt Engineering
-
How AI Agent Jar3d Uses LangGraph and Prompt Engineering to Challenge Perplexity - Deep Dive
-
LangGraph Deep Dive: Building AI Research Agents with Graphs
-
End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1
-
LangGraph AI Agents: The Future of Internet Search
