OpenProject 18.0.0 semantic search implementation pitfalls

The author outlines common mistakes made when implementing semantic search in software projects, such as relying indefinitely on a single provider model, performing only manual performance testing, introducing a costly reranker too early, treating semantic search as a hard filter, and failing to monitor embedding endpoints. To avoid these pitfalls, the author recommends linking embeddings to their inference environment, utilizing standardized benchmarks like MTEB, trying lightweight rank fusion before adding a reranker, and maintaining active monitoring probes. Open article →