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.
manticoresearch.com
· 2026-09-17
Antfly, a startup building a document, full-text, vector and graph indexing database, has released version 0.2 of its engine rewritten entirely in Zig with no external dependencies controlling core logic. The original v0.1 engine was built in Go, chosen for its concurrency support and mature Raft implementation, but the team decided to rewrite the system early rather than iterate on it.
antfly.io
· 2026-09-15
IEEE Computer Society published an interview with database expert Vinodkrishna Gopalan on how relational databases must evolve to handle AI and machine learning demands. The discussion centers on how AI workloads—marked by large scans, unpredictable queries, vector search, and low-latency inference—differ from traditional transactional database use cases, requiring new approaches to schema design, indexing, and scaling.
wpcms.computer.org
· 2026-09-04
LatticeDB is a new single-file, embedded property-graph database that supports graph traversal, HNSW-based vector similarity search, and BM25 full-text search through one unified query language. It requires no server or configuration, targets single-machine relationship-heavy workloads, and shares its transaction log across graph writes and event streams for durability.
github.com
· 2026-08-25
GoKawiil