Brute-force similarity search over in-memory float arrays.
Brute-force similarity search over in-memory float arrays.
(build-index candidates)(build-index candidates vector-selector)Build a reusable brute-force index over CANDIDATES.
An optional :vector-fn keyword or function selects each candidate's float[].
Build a reusable brute-force index over CANDIDATES. An optional :vector-fn keyword or function selects each candidate's float[].
(cosine-similarity-scores query candidates)Return cosine-similarity scores for QUERY against each candidate vector.
Return cosine-similarity scores for QUERY against each candidate vector.
(dot-product-scores query candidates)Return dot-product scores for QUERY against each candidate vector.
Return dot-product scores for QUERY against each candidate vector.
(query index query opts)Run a similarity search against a previously built VectorIndex.
Run a similarity search against a previously built VectorIndex.
(search query
candidates
{:keys [metric k predicate vector-fn] :or {metric :dot k 10}})Search CANDIDATES for QUERY.
Options are :metric (:dot or :cosine, default :dot), :k (required), :predicate (applied to candidates before scoring), and :vector-fn (a keyword or function selecting a float[] from each candidate).
Search CANDIDATES for QUERY. Options are :metric (:dot or :cosine, default :dot), :k (required), :predicate (applied to candidates before scoring), and :vector-fn (a keyword or function selecting a float[] from each candidate).
(top-k candidates scores k)Rank CANDIDATES by SCORES, descending, retaining original-order ties.
Rank CANDIDATES by SCORES, descending, retaining original-order ties.
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