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From Embeddings to Search Architecture: Building BrainZen’s Retrieval Foundation
When I first started adding semantic search to BrainZen, I thought the difficult part would be generating embeddings and storing them in MongoDB. It turns out that was only the beginning. Once the emb
learningwithyahya.hashnode.dev7 min read
#ai#semantic-search#hybrid-search#architecture#architecture-design#vector-search#embeddings#information-retrieval#mongodb#typescript#backend#system-design#machine-learning
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