The article discusses the technical and architectural details of building a distributed system for synchronizing and ingesting billions of text embeddings. It highlights the challenges in ingesting and synchronizing large-scale data, as well as the technologies used for embedding and storing data in a vector database.

10m read timeFrom medium.com
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Table of contents
Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and ingesting billions of text embeddingsProblemHigh-level architectureA note on distributed queueing in PythonLet’s go a bit in depthReadingEmbeddings and Vector DB storingStoring in-depthConclusion

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