WARM for Python
Native Python bindings for WARM's vector search and vector-symbolic algebra.
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Install
Python 3.9 or newer is required. Install the native binding and NumPy for the vector-index API:
uv add warm-python numpy
The distribution is named warm-python; the import is writerslogic_warm.
For the pinned default embedding model with no first-use download, install
warm-python[embed]. That extra adds the separate
warm-models wheel.
Vector search
VectorIndex builds an approximate nearest-neighbor index over vectors you supply. It supports
angular, Euclidean, and inner-product search. The returned IDs are row numbers in the input matrix.
import numpy as np
from writerslogic_warm import VectorIndex
vectors = np.random.default_rng(7).normal(size=(128, 32)).astype(np.float32)
index = VectorIndex("angular", degree=16, build_ef=64)
index.fit(vectors)
index.set_query_arguments(ef=64, rerank=32)
matches = index.query(vectors[0], 5)
print(matches.tolist())
The binding also provides UpdatableIndex for inserts and deletes, FilteredIndex for restricted
searches, and SparseIndex for sparse vectors.
With the [embed] extra, the pinned default text embedding model is available offline:
from writerslogic_warm import Embedder
embedder = Embedder(offline=True)
print(len(embedder.embed_query("Where is my note?")))
Phase-vector algebra
PhaseHVec supports deterministic phase-vector binding, unbinding, bundling, and similarity.
from writerslogic_warm import PhaseHVec
key = PhaseHVec.random(1024, 64, seed=1)
value = PhaseHVec.random(1024, 64, seed=2)
stored = key.bind(value)
assert stored.unbind(key).phases() == value.phases()
resonator_factorize searches codebooks for factors of a bound phase vector.
Phase vectors in bundles and factor codebooks must match the composite's dimension and
resolution. Invalid shapes and resource limits raise ValueError. Empty factor codebooks
are rejected; an empty list of factors returns []. Zero dimensions and zero iterations
retain the Rust API's behavior.
The Python boundary admits at most 65,536 dimensions, 65,536 input vectors, and 4,194,304
total phase elements per operation. Resonators additionally allow at most 64 factors,
1,000 iterations, and 100,000,000 estimated component visits, computed as
(3 * entries + factors**2) * max(dimensions, 1) * (iterations + 1) before cloning codebooks
or allocating the resonator index.
Choosing the right Python package
This native binding runs vector search and phase-vector operations in your Python process. It does
not expose the persistent document-search and agent-memory APIs. For an HTTP client to warm-server,
use warm-sdk. The Rust and Node.js
packages expose the full embedded engine.
1 maintainer
Metadata
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Release files for warm-python 0.6.4
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