Show HN: Chroma Cloud – serverless search database for AI

Post by HammadB » Tue, Aug 19, 2025, 9:05 PM UTC

curl-up wrote: post #20

Can Chroma handle combined structured+vector search? E.g. filtering by `category=X and value>Y` then finding top N matches by vec similarity?

Post by netpaladinx » Tue, Aug 19, 2025, 9:14 PM UTC

philip1209 wrote: post #4

codekisser wrote: post #2

what place do vector-native databases have in 2025? I feel using pgvector or redisearch works well and most setups will probably be using postgres or redis anyway.

Philip here from the Chroma engineering team. Chroma supports multiple search methods - including vector, full-text, and regex search. Four quick ways Chroma is different than pgvector: Better indexes, sharding, scaling, and object storage. Chroma uses SPANN (Scalable Approximate Nearest Neighbor) and SPFresh (a freshness-aware ANN index). These are specialized algorithms not present in pgvector. [1]. The core issue…

Post by didip » Tue, Aug 19, 2025, 9:50 PM UTC

Post by philip1209 » Tue, Aug 19, 2025, 10:19 PM UTC

netpaladinx wrote: post #23

philip1209 wrote: post #4

Earlier quoted context omitted.

Philip here from the Chroma engineering team. Chroma supports multiple search methods - including vector, full-text, and regex search. Four quick ways Chroma is different than pgvector: Better indexes, sharding, scaling, and object storage. Chroma uses SPANN (Scalable Approximate Nearest Neighbor) and SPFresh (a freshness-aware ANN index). These are specialized algorithms not present in pgvector. [1]. The core issue…

object storage here do you mean the recent released S3 Vector?

Post by poopiokaka » Wed, Aug 20, 2025, 1:10 AM UTC