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17min chapter
A Database for AI with Rich Alake, Developer Advocate at MongoDB
Making Data Simple
Databases in AI: MongoDB and Retrieval-Augmented Generation
This chapter explores the essential role of databases like MongoDB in ensuring high availability and security, particularly for AI applications. It discusses advanced concepts such as Retrieval Augmented Generation (RAG) and vector embeddings, emphasizing their significance in enhancing AI model performance and operational efficiency. Additionally, the chapter highlights best practices for optimizing RAG pipelines and the strategic advantages of using MongoDB in supporting AI workloads.
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