AI Connect : Workshop Trilogy Series: Chapter One : Semantic AI Agents

Workshop Trilogy Series:

1. Chapter One : Semantic AI Agents
2. Chapter Two : Automation : RAG system specifically tailored for ingesting Excel data and generating insights
3. Chapter Three : RAG system, Chunking & Parsing Unstructured (Images), & Vector Search

Description:

• AI agents are becoming fundamental building blocks of modern applications, thanks to their capability of understanding context with the help of the LLMs, but with added capability to interact with systems, files.
• This beginner-friendly, hands-on tutorial shows the process of creating semantic AI agents. From learning the core concepts of Agents, to understanding how to create, deploy, and manage AI agents that can handle real-world tasks like semantic search.

Pre-requisites:

• A laptop (Windows, Mac, or Linux)
• Have Python installed in their system
• Have at least one IDE/Code Editor
• High level knowledge of basic Gen AI concepts like how LLMs / Vector search work is good to have (optional but encouraged).
• Ensure you have setup a free tier Couchbase cluster. To create a new free cluster, see: [https://cloud.couchbase.com/sign-up?utm_source=meetup&utm_medium=community&utm_content=20250821Workshop](https://www.google.com/url?q=https://cloud.couchbase.com/sign-up?utm_source%3Dmeetup%26utm_medium%3Dcommunity%26utm_content%3D20250821Workshop&sa=D&source=docs&ust=1753381024071090&usg=AOvVaw0MnqRW0zFrJCoi8PuPaP9z)
• Once you create the cluster, follow these steps to setup account credentials, IP address and create a new database bucket: https://docs.couchbase.com/cloud/get-started/run-first-queries.html#next-steps
• Follow this notebook to ensure you can successfully connect to your database cluster programmatically with the help of Python: https://colab.research.google.com/drive/1DJPcdCM-GLqjQ5KAzIFkR8BJxICqq6US?usp=sharing

Whether you're a developer, data architect, or innovation leader, this session will provide actionable insights and hands-on examples to accelerate your AI journey.

Who Should Attend:
AI/ML engineers, solution architects, data platform teams, and product leaders exploring intelligent automation and generative AI capabilities.