Manticore Search adds automatic document chunking to its vector search engine
Manticore Search now supports built-in chunking for embedding-based vector search, letting users add a chunk_strategy option directly to a table's vector column instead of manually splitting long documents before indexing. The database can split text into pieces, embed each chunk, and search across all of them within a single table, eliminating the need for a separate chunking pipeline or secondary table. Five strategies are offered: truncate, mean, fixed, recursive, and sentence, with the latter three requiring a float_vector_array column to store multiple vectors per document.