Apr 28 · 4 min read · We write autonomous AI agents, compile at the speed of light, and deploy globally in milliseconds. Yet, at the core of our OS, we still organize data using a digital metaphor from 1964: the hierarchic
Join discussionApr 22 · 8 min read · The pricing page for self-hosted Qdrant says $0. Milvus says $0. pgvector says $0. That's the advertised cost. Then you actually run it in production and the bills start showing up in places you didn't expect. This post prices out the real TCO of sel...
Join discussionApr 20 · 12 min read · TL;DR: Turn the Syncfusion Blazor File Manager into a smart file assistant. This guide shows two AI search strategies: Semantic Search: Find files even with vague or incomplete keywords using embeddi
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Apr 12 · 7 min read · You take a photo of a chair you like at a friend's house. You open an app, upload the photo, and add "but in dark wood." The app shows you chairs that look like the one in your photo but in dark wood finishes. That's multimodal search. The query comb...
Join discussionApr 12 · 8 min read · Somewhere in the last two years, "we need a vector database" became the default answer to every search problem. Team wants better product search? Vector database. Building a recommendation engine? Vector database. Need to search images? Vector databa...
Join discussionApr 12 · 8 min read · Every few years, a new type of database shows up and suddenly it's "the answer" to everything. Graph databases had their moment. Time-series databases had theirs. Right now, vector databases are in the spotlight—and unlike some hype cycles, this one ...
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