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Event Overview
Join us for an exciting evening dedicated to exploring the latest advancements in Artificial Intelligence. The Global AI Bootcamp 2025 - Tel Aviv is part of a worldwide event to bring together AI enthusiasts, developers, and professionals to learn, share, and innovate with AI technologies.
๐Ÿšจ Registration Required:

  • Step 1: Register on this Meetup page
  • Step 2: Mandatory Form โ€“ All participants must fill out the following form to provide their full name and email for building access:

๐Ÿ‘‰ https://forms.office.com/r/QqHuCPz5PK
โš ๏ธ Entry will not be allowed without prior registration and form submission.
Agenda
17:30 โ€“ 18:00 | Gathering & Networking

  • Welcome and networking with fellow AI and cloud professionals.
  • Refreshments and introductions.

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18:00 โ€“ 18:10 | Opening Notes
๐ŸŽค Host: Alon Fliess, CTO, ZioNet

  • Introduction to Global AI Day and the Azure Israel Community.
  • Overview of the event agenda.
  • The importance of AI agents, LLMs, and vector databases in modern applications.

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18:10 โ€“ 19:00 | Session 1: Building AI Agents with Semantic Kernel
๐ŸŽค Speaker: Venya Brodetskiy, Architect, ZioNet
The rise of AI-driven assistants and AI co-pilots is reshaping how developers and businesses interact with technology. Semantic Kernel is key in enabling such AI agents, providing a powerful orchestration layer to integrate LLMs, memory, and external APIs efficiently.
Key Topics Covered:
โœ… Introduction to Semantic Kernel and its capabilities
โœ… How to design and implement intelligent AI agents
โœ… Lessons learned from building a real-world AI co-pilot
โœ… Challenges and solutions in LLM inference, retrieval, and workflow automation
โœ… Best practices for integrating AI-driven agents into applications
๐Ÿ’ก Takeaway: Gain a practical understanding of Semantic Kernel, its strengths, and what it takes to bring an AI agent to production successfully.

***

19:00 โ€“ 19:15 | Break (15 min)

  • Refreshments and networking.

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19:15 โ€“ 20:05 | Session 2: Integrating LangChain, FAISS, and SQL Server for LLM Querying
๐ŸŽค Speaker: Haim Gilboa
Retrieval-Augmented Generation (RAG) has emerged as a crucial pattern for improving LLM responses by integrating structured and unstructured data. This session will showcase how LangChain, FAISS, and SQL Server can be combined to build AI-powered search and query systems for enterprise applications.
Key Topics Covered:
โœ… Overview of LangChain and its role in LLM orchestration
โœ… Introduction to FAISS โ€“ optimizing vector search for large-scale applications
โœ… Using SQL Server as both a structured and vector database
โœ… Building an intelligent query pipeline: from natural language to SQL & vector search
โœ… Live Demo: Querying SQL Server with natural language, leveraging vector embeddings for accurate retrieval
๐Ÿ’ก Takeaway: Learn how to enhance LLM-based applications with structured data from SQL Server and FAISS-based vector search, improving response accuracy and real-world usability.

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20:10 โ€“ 20:30 | Q&A Panel with Speakers
๐ŸŽค Panelists: Venya Brodetskiy, Haim Gilboa, and Alon Fliess

  • Open discussion on AI agent development, retrieval-augmented generation (RAG), and best practices.
  • Audience questions on Semantic Kernel, LangChain, FAISS, and real-world AI applications.

***

Closing Notes

  • Thank you to the Azure Israel Community.

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