Stores

A store is Ahnlich's main unit of organization — a named container for your vectors and their metadata, much like a collection in a document database or a table in a relational one. You create a store, insert data into it, then query it by similarity or by metadata predicates.

Every operation below is shown in Python, Node.js, Go, Rust, and the CLI — pick your language once and it stays selected across pages.

Server operations

Talk to the running server itself — health checks and metadata.

Ping the serverLearn moreServer infoLearn moreList connected clientsLearn more

Store operations

Manage the store containers themselves — their whole lifecycle.

Create a storeLearn moreList storesLearn moreGet a storeLearn moreDrop a storeLearn more

Indexes

Add or remove indexes to speed up predicate filters and nearest-neighbour search.

Create predicate indexLearn moreDrop predicate indexLearn moreCreate non-linear indexLearn moreDrop non-linear indexLearn more

Data operations

Read and write the entries inside a store.

Insert dataLearn moreUpsert dataLearn moreGet by keyLearn moreSimilarity searchLearn moreGet by predicateLearn moreDelete by keyLearn moreDelete by predicateLearn more