Architecture — Tech News

Hybrid Search Architecture: Combining BM25 Keyword Search with Dense Vector Embeddings

Introduction & Industry Context In the early wave of generative AI and Retrieval-Augmented Generation (RAG) deployments, engineering teams gravi…

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A filtered vector query that asks for 10 results can come back with 2, and nothing errors. AWS's own launch post shows exactly that on a CLASSIC ind…

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Originally published on Build With AWS . Subscribe for weekly AWS builds. On August 5, 2026, AWS made vector search generally available in Amazon Dy…

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This week shipped one of the more consequential infrastructure changes in a while: DynamoDB absorbed vector search, collapsing a common two-database…

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A client wanted their management panel's AI assistant to answer questions like "what did this contact write me" or "who replied about a certain topi…

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My index reported 354 points. The collection had 451. Both numbers were "correct," and that gap is the whole problem. Here's the setup. I have a wik…

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Every system that does "semantic" anything — RAG pipelines, recommendation engines, image search, dedup — boils down to one operation: given this ve…

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Introduction: Bridging the Gap Between Postgres and JavaScript with ParadeDB The ParadeDB NPM package emerges as a targeted solution to a growing pa…

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Vector search has become load-bearing infrastructure in modern AI systems remarkably fast. A year or two ago, it was primarily a research curiosity…

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