The Hidden Costs of Self-Hosting Your Vector Database
Everyone benchmarks Qdrant vs Milvus vs pgvector on raw performance. Nobody benchmarks what happens six months in. Here's the real TCO of self-hosting a vector database.
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Articles tagged with #semantic-search
Everyone benchmarks Qdrant vs Milvus vs pgvector on raw performance. Nobody benchmarks what happens six months in. Here's the real TCO of self-hosting a vector database.
Most teams shopping for a vector database don't actually need one. They need search that works. There's a difference, and it matters more than you think.
Vector databases power semantic search, recommendation engines, and RAG pipelines. Here's how they work under the hood—and when a simpler option might be the better choice.
Real benchmark data from Supabase, Timescale, Qdrant, and ANN-Benchmarks. Query latency, recall accuracy, cost per million vectors, and how each one scales.
68% of users go straight to the search bar. 80% leave because the results are bad. Search is where your highest-intent users go, and most products completely fumble it.
Keyword search matches exact words. Semantic search understands meaning. Here's how they work, when to use each, and why the gap between them matters more than you think.