From Tuesday, December 9 (11:30 - 18:00) to Wednesday, December 10, 2025 (08:45 – 18:00), Paris becomes the epicenter of context-integrated GraphRAG. Join top builders, researchers, and engineers to prototype the next generation of Model Context Protocol integrations for graphRAG databases — and explore how structured memory can unlock reasoning at scale.

Space is limited and we’re screening for hands-on talent. If you work with LLMs, RAG, or graph-based reasoning, secure your spot early — once full, the waitlist opens.

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket.

Model Context Protocol Integrations for GraphRAG We’re bridging the gap between language models and structured data systems. Expect a full day of experimentation around:

• Context persistence across graph nodes
• Dynamic retrieval and reasoning from structured sources
• Hybrid memory architectures (Graph + RAG)
• MCP interfaces for multi-agent collaboration and explainability
• Visual query builders and interpretable context trails

Whether you’re a backend engineer, data scientist, or AI tinkerer, bring your boldest ideas — we’ll connect you with mentors and teammates to make them real. --- We’ll reward projects that are working, elegant, and context-smart. Extra points for:

• Seamless MCP ↔ Graph integration
• Context-aware reasoning or dynamic retrieval
• Real-world usefulness and open-source potential
• Clear UX for developers and data teams

--- The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome. --- 🏆 What You Win: We recognize excellence in GraphRAG and MCP integration!

1. Scalingo Credits: The overall winning team and the winners of the Scalingo track each receive a €270 coupon code for the PaaS.
2. The Ultimate Pass: All attendees gain a free “Golden Pass” granting access to GenerationAI, apidays, and GreenIO Paris (a €999 value).

Come build smart context and walk away with credits and conference access! 🧠💳

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches (because who codes on an empty stomach?). But here’s the kicker: your acceptance isn’t just for the hackathon. It’s a golden pass to GenerationAI, apidays, AND GreenIO Paris. That’s 4 conferences — normally valued at 999€ — for the price of zero. Yes… we said zero. You’re welcome.

Sponsors

Neo4j - Neo4j is a leading graph database platform that empowers AI developers to harness the power of connected data. Their technology enables efficient storage\, analysis\, and visualization of complex data relationships\, integrating seamlessly with popular AI and machine learning tools. Neo4j’s features\, including native graph storage and advanced algorithms\, make it ideal for powering AI applications like knowledge graphs and recommendation systems\, helping developers extract deeper insights from their data.

Scalingo is a European Platform as a Service (PaaS) designed to simplify cloud hosting and database management for developers. It enables rapid deployment, management, and scaling of web applications, supporting over 50 runtimes and integrating seamlessly with major databases like PostgreSQL, MySQL, and MongoDB. With features like auto-scaling, continuous deployment, real-time monitoring, and robust security, Scalingo empowers tech teams to focus on coding rather than infrastructure. New users can enjoy a 30-day free trial to experience its developer-friendly environment and top-notch support.

• Sponsor opportunities

The Hackathon is part of Generation AI Paris 2025 — a 3-day explosion of innovation with 8,000+ attendees, 300+ sessions, and 100+ speakers. You’re getting the full package: keynotes, track sessions, workshops… and all the networking breakfasts and lunches. Golden Pass Value: Your acceptance grants you a free pass to GenerationAI, apidays, AND GreenIO Paris—that’s 4 conferences normally valued at 999€, for the price of zero: To access the apidays conference component, use this promo link for a Regular Ticket. We review applications daily — keep an eye on your inbox (and spam folder). If your plans change, please release your spot so someone else can join.

Hit Register above. Share your GitHub / LinkedIn / X handle and tell us what you’ll build. Let’s connect LLMs and Graphs — and prototype the next leap in contextual intelligence, powered by Scalingo and Neo4

Transform your data replication strategy into a competitive advantage with Oracle GoldenGate 23ai. This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize , and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors. Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk. Whether you're upgrading from Classic GoldenGate , deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business. What You Will Learn Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases Configure vector replication for AI and machine learning workloads, including RAG systems Design and build multi-master replication models with automatic conflict resolution Automate deployments and management using RESTful APIs and Python Optimize performance for sub-second replication lag in production environments Secure your replication environment with enterprise-grade features and compliance Upgrade from Classic to Microservices architecture with zero downtime Integrate with cloud platforms including OCI, GCP, AWS, and Azure Implement real-time data pipelines to BigQuery , Snowflake, and other cloud targets Navigate Oracle licensing models and optimize costs Who This Book Is For Database administrators, architects, and IT leaders working with Oracle GoldenGate —whether deploying for the first time, migrating from Classic architecture, or enabling AI-driven replication—will find actionable guidance on implementation, performance tuning, automation, and cloud integration. Covers unidirectional and multi-master replication and is packed with real-world use cases.

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

RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Discover the many ways you can build RAG applications on top of Azure Database for PostgreSQL Flexible Servers. We'll start by using the pgvector extension for vector similarity search. Then we'll explore the new azure_ai extension which provides built-in functions for embeddings, summarization, sentiment analysis, and more. Finally, we'll demo the new azure_local_ai extension to efficiently run pre-trained models on our database server, which can be a great fit for RAG applications that require custom embedding models.

Presented by Joshua Johnson, Principal TPM on Azure PostgreSQL, and Pamela Fox, Developer Advocate for Python

** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **

📌 Check out the RAGHack 2024 series here!

Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.

• Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!

An intro to RAGHack, a global hackathon to develop apps using LLMs and RAG. A large language model (LLM) like GPT-4 can be used for summarization, translation, entity extraction, and question-answering. Retrieval Augmented Generation (RAG) is an approach that sends context to the LLM so that it can provide grounded answers. RAG apps can be developed on Azure using a wide range of programming languages and retrievers (such as AI Search, Cosmos DB, PostgreSQL, and Azure SQL). Get an overview of RAG in this session before diving deep in our follow-up streams.

An intro to RAGHack, a global hackathon to develop apps using LLMs and RAG. A large language model (LLM) like GPT-4 can be used for summarization, translation, entity extraction, and question-answering. Retrieval Augmented Generation (RAG) is an approach that sends context to the LLM so that it can provide grounded answers. RAG apps can be developed on Azure using a wide range of programming languages and retrievers (such as AI Search, Cosmos DB, PostgreSQL, and Azure SQL). Get an overview of RAG in this session before diving deep in our follow-up streams.

📌 Check out the RAGHack 2024 series here!

Pre-requisites: - Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.

• Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact.

Agenda:

(PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A

About Prasad Venkatachar

Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

Webinar Passcode 216172

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

This presentation focuses on how organizations can embark on Gen AI journey from Prompt Engineering, RAG to Fine Tuning LLMs. It delves into how to unlock the power of retrieval-augmented-generation (RAG) for generative AI apps. Discover the art of designing, building, and optimizing RAG applications using Google AlloyDB Omni, a PostgreSQL-compatible database, in tandem with powerful LLMs like OpenAI, VertexAI, or other Open Source variants. Learn how enterprises can transcend from foundational RAG frameworks to Advanced RAG systems, unlocking unprecedented relevancy and accuracy in query responses. Delve into the best practices for deploying RAG applications and gain insights into the evaluation of RAG systems, ensuring optimal performance and maximum impact.

Agenda:

(PDT) 11:50 am - 12:00 pm Arrival, socializing, and Opening (PDT) 12:00 pm - 1:00 pm Prasad Venkatachar "Unlocking generative AI in your enterprise with Google AlloyDB Omni and LLMs" (PDT) 1:00 pm - 1:15 pm Q&A

About Prasad Venkatachar

Prasad Venkatachar is Sr Director - Solutions Engineering & Products at Pliops. He is focused on Solutions and Product strategy and leading and driving AI/GenAI, Data, Analytics & Storage solutions with partners. He has launched multiple industry-leading Data & AI/ML products & solutions collaborating with Microsoft, IBM, Oracle, Cloudera, and ISV partners to grow revenue & gain market share at Lenovo & HPE. He also served as a Microsoft Data and AI Partner Advisory Council Member and Member of Lenovo Technology Innovation. Served fortune 500 enterprise customers as SME to deliver business value outcomes for Datacenter and Cloud deployments. He has good experience and certified with Multiple Cloud (AWS/Azure/GCP/IBM) and Database (Oracle/DB2/Azure Data) and AI/Gen AI certifications. A regular speaker in Industry Conferences: Microsoft Ignite, Oracle Open World, Developer conferences: Pass Summit, Oracle users group, Flash Memory Summit, SNIA & Gartner Conference

https://us02web.zoom.us/webinar/register/3017138780213/WN_MjvWrSIYQy6wfGgU5Q3F5g

Webinar Passcode 216172

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/4417121767538/WN_SzOUclX5Szu74d6pin1QoQ

In this session, we will embark on a journey to discover how SQL, a tried-and-true database querying language, seamlessly integrates with Python and LLMs to unlock new possibilities in data exploration, manipulation and insights generation. In addition, we will explore an open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation and related functionality.

Agenda:

(PDT) 11:45 am - 11:50 am Arrival, socializing, and Opening (PDT) 11:50 am - 1:45 pm Tolulade Ademisoye "The Intersection of SQL (PostgreSQL) and Large Language Models for Data Query" (PDT) 1:45 pm - 1:50 pm Q&A

About Tolulade Ademisoye

Tolulade is a Machine Learning Engineer building Semis at Reispar Technologies. He loves to simplify complex processes for people and businesses. Tolulade is a volunteer reviewer for SciPy 2024 conference, Scientific Computing with Python.

https://us02web.zoom.us/webinar/register/4417121767538/WN_SzOUclX5Szu74d6pin1QoQ

Webinar Passcode 189821

Please register using the zoom link to get a reminder:

https://us02web.zoom.us/webinar/register/4417121767538/WN_SzOUclX5Szu74d6pin1QoQ

In this session, we will embark on a journey to discover how SQL, a tried-and-true database querying language, seamlessly integrates with Python and LLMs to unlock new possibilities in data exploration, manipulation and insights generation. In addition, we will explore an open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation and related functionality.

Agenda:

(PDT) 11:45 am - 11:50 am Arrival, socializing, and Opening (PDT) 11:50 am - 1:45 pm Tolulade Ademisoye "The Intersection of SQL (PostgreSQL) and Large Language Models for Data Query" (PDT) 1:45 pm - 1:50 pm Q&A

About Tolulade Ademisoye

Tolulade is a Machine Learning Engineer building Semis at Reispar Technologies. He loves to simplify complex processes for people and businesses. Tolulade is a volunteer reviewer for SciPy 2024 conference, Scientific Computing with Python.

https://us02web.zoom.us/webinar/register/4417121767538/WN_SzOUclX5Szu74d6pin1QoQ

Webinar Passcode 189821