You can test Sonic live on: Crisp Helpdesk, and get an idea of the speed and relevance of Sonic search results. Crisp users use it to search in their messages, conversations, contacts, helpdesk articles and more. It is used to index half a billion objects on a $5/mth 1-vCPU SSD cloud server (as of 2019). Sonic is integrated in all Crisp search products on the Crisp platform. □ You use Sonic and you want to be listed there? Contact me. ![]() I drew it to look like a psychedelic hipster hedgehog. « Sonic » is the mascot of the Sonic project. □ The Sonic project was initially announced in a post on my personal journal. Tested at Rust version: rustc 1.62.0 (a8314ef7d ) It aims at being crash-free, super-fast and puts minimum strain on server resources (our measurements have shown that Sonic - when under load - responds to search queries in the μs range, eats ~30MB RAM and has a low CPU footprint see our benchmarks). Sonic is an identifier index, rather than a document index when queried, it returns IDs that can then be used to refer to the matched documents in an external database.Ī strong attention to performance and code cleanliness has been given when designing Sonic. It is capable of normalizing natural language search queries, auto-completing a search query and providing the most relevant results for a query. Sonic can be used as a simple alternative to super-heavy and full-featured search backends such as Elasticsearch in some use-cases. ![]() It ingests search texts and identifier tuples that can then be queried against in a microsecond's time. Sonic is a fast, lightweight and schema-less search backend.
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