Dense vector retrieval models divide documents into discrete chunks before indexing. If a technical article buries crucial configuration instructions within vast walls of unformatted prose, chunk boundaries can sever context, leading to poor retrieval scores.
Semantic Heading Structures
Using granular H2 and H3 tags with descriptive titles ensures each chunk contains complete semantic context. Annotating code blocks with language identifiers and concise commentary maximizes retrieval accuracy.
Explore our deep dive on optimizing codebases for AI search engines.