vespa VS sonic

Vespa(4.3k ⭐) → A fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.

If ES doesn't work for you, I recommend Vespa. https://github.com/vespa-engine/vespa

Others have made other suggestions, but Vespa has two unique features. First it is battle tested at a large scale, second it supports combining the keyword and vector scores in several ways. The latter is something that other hybrid systems don't do very well in my experience including ES/Solr.

After looking at various alternatives, I'm thinking of trying out https://vespa.ai/ [0]

[0] https://github.com/vespa-engine/vespa

Sonic - a project written in Rust, uses custom network communication protocol for fast communication between the client and the server.

This is uncanny, I just discovered ArchiveBox earlier today and set up a self-hosted instance on some home hardware for a collection of bookmarks of useful guides, tutorials, and references I've collected over the years.

Setting it up on K8s with sonic [1] as the search backend and importing a few hundred URLs only took ~an hour or so, and the cached pages look great for the most part.

[1] https://github.com/valeriansaliou/sonic

If you don't need advanced search features, you can use Sonic (https://github.com/valeriansaliou/sonic). It's blazing fast and you can save lot of money on servers.

What about Sonic? Maybe it requires a bit of integration, but it's simple and blazing fast.

git clone https://github.com/valeriansaliou/sonic.git