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From Demo to Deployment: RAG-based AI Assistants real challenges | Ai Heroes 2024 Talk

AI Heroes 49 lượt xem 3 days ago
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🎟️ the 2025 edition on 27 May: https://aiheroes.it/2025/tickets/

⏩ Chapter:
00:00 Intro
01:48 How does RAG work?
03:18 Azure OpenAI Services?
05:57 Azure AI Search Retrieval Methods
07:12 Core Components
08:26 DEMO
12:53 Identify Relevant Data Sources
14:30 Knowledge Mining
16:02 Evolution & Feedback
17:15 LLM-as-a-Judge
19:11 Recognized Challenges
21:30 Customization Needs
22:53 Production Architecture
24:20 Yechnologies & Frameworks
25:48 LLMs, Chats, Tools
26:41 Memory. Data. Workflows
27:35 Data Pipelines
29:47 DEMO
32:02 Lessons Learned
34:55 What’s Next

Let’s explore our journey to bring an enterprise assistant into production, addressing the real-world complexities of development and deployment, sharing our experience with security, advanced ETL integrations, automation, and frontend/backend customizations. From a prototype based on Azure OpenAI Chat Playground (aka Bring-Your-Own-Data), we’ll walk you through how we moved to a custom architecture, optimized to meet specific user and business needs, using Microsoft technologies, including Azure AI Search, Semantic Kernel, and Kernel Memory.
🎤 MORGANA LALLI, Data Scientist
🎤 GIANNI ROSA GALLINA, R&D Technical Lead & Head of AI Services

📍AI Heroes is the Italian Artificial Intelligence Conference for Developers, Engineers, Data Scientists & Product Managers.
- The New Workflow to Shape the Future of Business
- AI in the Next Generation Workforce
- Key Technologies, Applications and Trends

ℹ️ inform: https://aiheroes.it/
✅ Tweet: https://twitter.com/AIHeroes_it
✅ Connect: https://www.linkedin.com/showcase/aiheroes-it/
✅ Read: https://t.me/aiheroes

#RAGAI #AIAssistants #EnterpriseAI #AzureOpenAI #SemanticKernel #KernelMemory #AIDeployment #AIIntegration #ETLProcesses #AIProduction

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