Title & Speakers	Event
Improving accuracy of GenAI apps with Azure Database for PostgreSQL \| BRK190 2024-11-20 · 14:02 Maxim Lukiyanov – Principal PM Manager @ Microsoft , Orhun Oezbek , Maxim Lukiyanov , Jay Yang – Executive Director @ RiskLab, UBS , Orhun Oezbek – Software Engineer @ UBS AG , Jay Yang The success of GenAI apps is decided by the accuracy of their responses. Using Retrieval Augmented Generation (RAG), you can improve accuracy by grounding GenAI app responses in your data. In this session, explore advanced RAG techniques in Azure Database for PostgreSQL including new vector search algorithms, parameter tuning, hybrid search, semantic ranking, and the GraphRAG approach. See how customers are using these techniques to deploy corporate development platform for GenAI apps. 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Maxim Lukiyanov * Orhun Oezbek * Jay Yang 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com BRK190 \| English (US) \| Data MSIgnite Azure GenAI Microsoft postgresql RAG	Microsoft Ignite 2023 YouTube

The success of GenAI apps is decided by the accuracy of their responses. Using Retrieval Augmented Generation (RAG), you can improve accuracy by grounding GenAI app responses in your data. In this session, explore advanced RAG techniques in Azure Database for PostgreSQL including new vector search algorithms, parameter tuning, hybrid search, semantic ranking, and the GraphRAG approach. See how customers are using these techniques to deploy corporate development platform for GenAI apps.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Maxim Lukiyanov * Orhun Oezbek * Jay Yang

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK190 | English (US) | Data

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