https://shaharia.com/tags/rag/ Recent content in Rag on Shaharia Azam's Website | DevOps, Platform Engineering & AI Insights Hugo en Sat, 16 May 2026 00:00:00 +0000 https://shaharia.com/blog/choosing-embeddable-vector-database-go-application/ Sat, 25 Apr 2026 00:00:00 +0000 https://shaharia.com/blog/choosing-embeddable-vector-database-go-application/ TL;DR — if you just want the answer < ~100k vectors, pure-Go, no CGO, want it to “just work”: use chromem-go. Lexical + vector search in one engine, pure-Go: use Bleve. Millions of vectors, OK with CGO, SQL filters: use sqlite-vec (via mattn/go-sqlite3) or DuckDB + VSS. You can run a separate process: stop reading — use Qdrant or Chroma server. The whole point of this post is the single-binary constraint below.