Holographic Memory for Python
Native Python bindings for Holographic Memory'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 holographic-memory-py numpy
The distribution is named holographic-memory-py; the import is holographic_memory.
For the pinned default embedding model with no first-use download, install
holographic-memory-py[embed]. That extra adds the separate
holographic-memory-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 holographic_memory 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 holographic_memory 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 holographic_memory 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.
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 hms-server,
use holographic-memory-sdk. The Rust and Node.js
packages expose the full embedded engine.
1 maintainer
Metadata
1 maintainer
Release files for holographic-memory-py 0.6.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| holographic_memory_py-0.6.3.tar.gz | 5.2 MB | With provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| holographic_memory_py-0.6.3-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-musllinux_1_2_x86_64.whl | CPython 3.9 | abi3 | Linux musl 1.2+ x86-64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-musllinux_1_2_aarch64.whl | CPython 3.9 | abi3 | Linux musl 1.2+ ARM64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ ARM64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details |
| holographic_memory_py-0.6.3-cp39-abi3-macosx_10_12_x86_64.whl | CPython 3.9 | abi3 | macOS 10.12+ x86-64 | Details |
Total release size: 28.7 MB
Release files / holographic_memory_py-0.6.3.tar.gz
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