From Zero to Production: Building Multi-Agent Systems with CrewAI Sahaj Software

DEVDAY_

From Zero to Production: Building Multi-Agent Systems with CrewAI

Keshav Rathinavel, Preethi Srinivasan

1 November 2024

Sahaj Software, 365, 3rd Floor, Sulochana Building, 1st Cross Road, 3rd Block, Koramangala, Bengaluru, Karnataka 560034

About the Talk

Workshop Overview

Learn to build a practical, business-ready AI agent system in just 2 hours! In this hands-on workshop, you’ll create a customer support system.

This multi-agent customer support system can classify, route, and respond to support tickets automatically using the power of Large Language Models and crewAI.

What You’ll Build

Transform your customer support workflow by building a multi-agent system that:

Automatically classifies incoming support tickets
Intelligently routes issues to the right department
Generates contextual responses using your knowledge base
Maintains conversation history for better customer experience

Tools You Will Explore

CrewAI framework
LLMs
Basic database for ticket management

Who Should Attend

Those interested in practical AI applications
Those exploring automation solutions for their business
Anyone interested in building real-world AI agents

Prerequisites

Basic Python knowledge
Familiarity with REST APIs
Understanding of basic software architecture
No prior AI/ML experience required!

What You’ll Learn

Setting up and configuring AI agents with crewAI
Implementing inter-agent communication
Building robust classification systems using LLMs
Managing conversation context and memory
Best practices for production-ready AI agents

Meet our Speaker(s)

Keshav Rathinavel

Solution Consultant, Sahaj AI Software

Full-Stack Software Developer with a strong focus on building production-ready solutions. Keshav's expertise lies in leveraging AI to create innovative applications, with understanding of DevOps practices, to optimise development workflows and streamline deployment processes.

Preethi Srinivasan

Solution Consultant, Sahaj AI Software

Preethi Srinivasan is a Solution Consultant at Sahaj Software. She has a Masters (by Research) from IIT Mandi. As part of her masters thesis she worked on applications of Deep Learning algorithms to medical imaging problems and published work at NIPS-WIML workshop, IEEE-CBMS-20, ACCV-20. At Sahaj, she has developed prototypes for Video Summarisation (in an unsupervised fashion) and Video Captioning, focusing on extracting meaningful information from the video data. She is currently working on building question-answering systems for specific domains based on document analysis, utilising RAG and/or fine-tuning on LLMs.