1d ago · 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 discussion3d ago · 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 ...
Join discussionApr 12 · 7 min read · Every team building search or RAG eventually asks the same question: which vector database should we use? I've spent the last year working with pgvector in production (it's what powers Vecstore under the hood) and I've tested most of the alternatives...
Join discussionApr 12 · 4 min read · Go to any SaaS app you use daily. Click the search bar. Type something slightly outside the exact phrasing of a menu item or document title. See what happens. Nine times out of ten, you'll get nothing useful. Maybe a "no results found" page. Maybe re...
Join discussionApr 12 · 6 min read · Search is one of those things that seems simple until you build it. A user types a query, you return results. But how you match that query to your data makes all the difference between a search bar that frustrates users and one that feels like it rea...
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