How I Used Chroma as a Local Vector Store — And What You'd Swap It for in Produc

<h1> RAG Systems in Production: Building Enterprise Knowledge Search </h1> <h2> Introduction </h2> <p>Retrieval-Augmented Generation (RAG) has revolutionized how enterprises build

<p>Your RAG application works perfectly with 1,000 documents. You push it to production, upload 10 million vectors, and suddenly your query latency jumps from 50ms to 5 seconds.

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<h2> 🎯 Who This Is For </h2> <ul> <li>You want to store and search vector data in DynamoDB</li> <li>You're frustrated that a single query returns at most 100 results, which leaves

<p>Our careers page search often felt broken. Searching for “Java” could return JavaScript roles. A misspelling could produce no results at all. Searching for “manager” could