The Hidden Architecture Behind Dense Vector Search (and Why It’s Hard to Scale)
Most people think dense vector search works like this: embed your documents store the vectors run cosine similarity Done. This is the biggest misunderstanding…
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Dense Vector Search
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The Hidden Complexity Behind Scaling Dense Vector Search
A systems-level explanation for engineers, architects, and anyone building RAG, search, or agent infrastructure. Dense retrieval looks clean on paper. You take an embedding…
Hybrid Retrieval: The Architectural Backbone Behind Reliable AI Systems
Most AI failures don’t happen inside the model. They happen one layer earlier — in retrieval. If your RAG system, copilot, or agentic workflow…