Better Vector Search for Long Documents: Chunking Inside Manticore Search

Manticore Search’s new built-in chunking for vector search addresses a major enterprise search gap: long documents can now be split, embedded, and retrieved accurately without building custom preprocessing pipelines or maintaining separate chunk tables. For CIOs and technology leaders, this means better knowledge discovery and search relevance for internal documentation, runbooks, and incident records, with material gains in recall at the cost of higher RAM and ingest overhead. Strategically, it reduces engineering complexity while improving the quality of AI-powered search, but IT teams will need to tune chunk sizes and evaluate the cost/performance tradeoff for production workloads.