Name: LangGraph Agents - Code walkthrough
Start: 2025-08-04T19:00:00-07:00
End: 2025-08-04T21:00:00-07:00

In the July 21 meetup, Krishnan explored design patterns of building Agents workflows using LangGraph Agents including integration with tools and the Model Context Protocol (MCP) In this meetup, Krishnan will walkthrough basic and advanced Agents example code

Samantha Damaso

SupportVectors: Generative AI, LLMs, Machine Learning

SupportVectors

Technology

Neural Networks

Natural Language Processing

Artificial Intelligence

Machine Learning

Data Visualization

Data Science

Machine Intelligence

Deep Learning

Artificial Intelligence Applications

Artificial Intelligence Programming

LinkedIn: **[https://www.linkedin.com/in/krishnan-ramaswamy/](https://www.linkedin.com/in/krishnan-ramaswamy/)**
Gen AI Product Development & Principal Architect @ Cisco for, AI, ML, and Gen AI-enabled computer networking products & solutions.
In my current role as Gen AI Product Owner and Principal Architect at Cisco, I spearhead the innovation of AI/ML-enabled solutions within the Customer Experience portfolio, concentrating on Data Center and Security domains. Our team's initiatives have led to the identification of transformative Gen AI solutions, significantly enhancing productivity across support teams, customers, and partners.
I take pride in leading the development of advanced AI technologies, such as Conversational AI Search and Custom LLMs-based applications, which have been instrumental in advancing Cisco's product configuration and deployment design. The strategic integration of next-generation products and services under my guidance has driven meaningful advancements, positioning us at the forefront of the industry's evolution.

Krishnan Ramaswamy

LangGraph Agents - Code walkthrough

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LangGraph Agents - Code walkthrough

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