Implementing Search: PostgreSQL Full-Text vs Algolia vs Meilisearch

<p>How I built browser-native semantic vector search using WASM — no server, no API keys, no per-query cost. Full code walkthrough with React. </p> <p>My documentation site had

<h2>The Premature Optimization Trap</h2> <p>When building a B2B SaaS platform at Smart Tech Devs, a fast and intelligent search bar is a core requirement. A user types "invoice

<p>Most semantic search systems don’t fail because of embeddings. They fail because of how the system is designed around them.</p> <p>When I started building a semantic search API

<p>Munchable answers one question: does this food fit the gut condition you live with. Until recently there was exactly one way to ask it, which was to hold a phone camera up to a

<p><a href="https://github.com/freema/vellum" rel="noopener noreferrer">vellum MCP</a> is a self-hosted server over a folder of markdown, your agent's memory as plain

<p>Adding full-text search to Postgres is a two-line migration. Running it in production without surprises is not. The GIN index that makes search fast also adds write

<p>Algolia pricing trips up a lot of Next.js teams the same way: the free tier feels generous until you hit a hidden ceiling and suddenly you're looking at a non-trivial monthly

<p>Whenever someone asks me to add search to an application, I try to find ways around it. The implementation itself isn't the problem, it's everything that comes with it: extra