Unlocking the Power of Retrieval Augmented Generation: A Deep Dive with Freeplay and MongoDB

In this episode, we explore the intricacies of deploying high-performance Retrieval Augmented Generation (RAG) systems in production environments with Ian Cairns, co-founder, and Jeremy Silva, engineer at Freeplay. Learn how Freeplay’s innovative platform, in collaboration with MongoDB, simplifies the complex process of experimenting, testing, and tuning RAG features for large-scale applications. Discover the critical role of effective retrieval strategies, optimal generation models, and continuous system optimization. Whether you’re a developer, product manager, or part of a software team, this episode offers valuable insights into enhancing your LLM applications using MongoDB and Freeplay. Tune in to understand the challenges, solutions, and best practices for achieving reliable and scalable RAG systems.
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✅ MongoDB and Freeplay Overview

[AlohaEru]

Folks want to unsilo data, not scattering them further depending on format or type into these various niche vector databases. Whichever start up that likes fragmented data architecture won’t survive in the data age.