Giuseppe Mercatante’s Post

Want to learn how to unlock the power of Retrieval Augmented Generation (RAG)? 🚀 Watch our MongoDB.TV episode featuring Freeplay's Ian Cairns and Jeremy Silva to discover how to use Freeplay with MongoDB to streamline the complex process of experimenting, testing, and tuning RAG features for large-scale applications. Don't miss out: https://lnkd.in/e_-e7ApD #MongoDB #VectorDB #RAG #AI

🚀 Join MongoDB and Anyscale for a webinar on how to leverage AI to enhance your transactional workloads. 🌐✨ Dive into: -The power of MongoDB's document model and Atlas Vector Search -How Anyscale Endpoints and the Ray framework can supercharge ML models at scale -Real-world examples and best practices for achieving unprecedented efficiency and scalability Gain strategies to enhance transactional processes using Generative AI capabilities and tips for high-performance processing with MongoDB's flexible schema. See you there! #mongodb #genai #innovation #webinar #nosql #generativeai

🚀 Wrapped up an incredible webinar on "Using HCP Terraform with MongoDB Atlas Vector Search"! 🚀 It was a fantastic session that deepened my understanding of how to integrate Atlas Vector Search with HashiCorp’s Terraform. The discussion covered deploying an Atlas dedicated cluster, creating collections with vector data, and starting Atlas Vector Search queries with MongoDB Shell.💡 A big thanks to HashiCorp for organizing this event, and a special thanks to the presenters, Zuhair Ahmed and Kenan Fyfe, for their expert insights!👏 #Webinar #MongoDB #HashiCorp #Terraform #VectorSearch #AI #TechCommunity

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. https://lnkd.in/gzqtAZqt

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/dAGrdVvz

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/g4pury5y

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/eix9WmEf

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/gzFm59gd

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/dGDDRP7f

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/gfirD_vj