juricode-retrieval
Dense-retrieval core for JuriCode-JP, packaged (MIT) as the single source of truth for the parity-critical primitives.
What it provides
| primitive | purpose |
|---|---|
_load_artefacts |
Load the embedding matrix (.npy), records (.meta.jsonl), and provider state (.vec.json, .vec.pkl fallback). Missing artefacts fail loudly. |
_encode_queries |
Embed query strings via the artefact's provider (gemini / openai / tfidf). The openai and gemini clients are imported lazily. |
_cosine_topk |
Cosine-similarity top-k of a query matrix against the corpus matrix. |
dedup_by_article |
Collapse duplicate segments of the same article to the top-ranked one. |
Why a package
tools/embed/retrieve.py re-imports these four objects, so every eval and
service caller runs the identical function objects rather than a copy. The
retrieval math is therefore unchanged by construction, and a test asserts the
object identity (retrieve._load_artefacts is juricode_retrieval._load_artefacts).
Dependencies
numpy is required (imported lazily inside each primitive, so importing the
package itself needs no numpy). google-genai is the production embedding
provider; the openai and tfidf branches are optional and imported only when
selected.
1 maintainer
Metadata
1 maintainer
Release files for juricode-retrieval 0.1.0
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Total release size: 24.0 kB
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