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Ā· 9 min read
Nick Byrne

Imagine effortlessly infusing AI into your data repositoriesā€”databases, data warehouses, or data lakesā€”without breaking a sweat. With SuperDuperDB, we aim to make this dream a reality. We want to provide everyone with the tools to build AI applications directly on top of their data stores, with just a pinch of Python magic sprinkled on top! šŸāœØ

In this latest blog post we take a dive into one such example - a Retrieval Augmented Generation (RAG) app we built directly on top of our MongoDB store.

Ā· 6 min read
Duncan Blythe

In this blog-post we show you how to easily operate vector-search in MongoDB Atlas using SuperDuperDB, leading to many savings and efficiencies in your AI development.

In 2023 vector-databases are hugely popular; they provide the opportunity for developers to connect LLMs, such as OpenAIā€™s GPT models, with their data, as well as providing the key to deploying ā€œsearch-by-meaningā€ on troves of documents.