A structure that makes lookup fast — from search indexes to vector indexes used for similarity retrieval.
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[ EXPLORE SOFTWARE ]An index is a specialized structure that speeds up finding records or similar items without scanning everything. It is useful whenever search or AI retrieval must stay interactive as data grows.
Whilst a new index feels like a finish line, in practice stale or mistuned indexes retrieve confident near-misses. For example, yesterday’s docs are live on the site but absent from the index the assistant queries. We often recommend explicit rebuild/upsert routines and measuring retrieval quality — not only build time.
A fast search technique used to find data points close to a query vector without comparing the query against the entire dataset.
An organized system for storing and querying data so applications can read and write records reliably.
Blends BM25 keywords with dense vectors (often via RRF) so exact terms and meaning both rank.
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