<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>memista — blog</title><description>Notes on embeddable vector search, ANN indexes, and shipping retrieval in Rust.</description><link>https://memista.skelfresearch.com/</link><language>en-us</language><item><title>Persistence patterns for in-process vector indexes</title><link>https://memista.skelfresearch.com/blog/persistence-patterns-vector-indexes/</link><guid isPermaLink="true">https://memista.skelfresearch.com/blog/persistence-patterns-vector-indexes/</guid><description>An in-memory vector index is easy. An in-memory vector index that survives a crash, a deploy, and a schema change is the actual work.</description><pubDate>Fri, 29 May 2026 00:00:00 GMT</pubDate></item><item><title>HNSW vs flat: choosing for embeddable workloads</title><link>https://memista.skelfresearch.com/blog/hnsw-vs-flat-embeddable/</link><guid isPermaLink="true">https://memista.skelfresearch.com/blog/hnsw-vs-flat-embeddable/</guid><description>A flat index is honest. HNSW is fast. For embeddable workloads, the choice is rarely either-or — it&apos;s about where in your data&apos;s life each one earns its keep.</description><pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate></item><item><title>When you don&apos;t need a vector DB</title><link>https://memista.skelfresearch.com/blog/when-you-dont-need-a-vector-db/</link><guid isPermaLink="true">https://memista.skelfresearch.com/blog/when-you-dont-need-a-vector-db/</guid><description>Most retrieval workloads fit on one box. Here is how to know yours is one of them — and what &apos;no vector DB&apos; actually buys you.</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate></item></channel></rss>