hnsw-lite for Python
pip install hnsw-lite-lib
Vector search with metadata filters, hybrid (dense + BM25 keyword) search, crash-safe durability and automatic maintenance: a C++ library with Python bindings and NumPy and pandas integration.
import numpy as np
import hnsw_lite_lib as hl
docs = hl.Collection(dim=384, path="docs.db") # durable; omit path for in memory
docs.upsert(1, vector=np.random.rand(384), text="the quick brown fox", metadata={"lang": "en", "year": 2024})
hits = docs.search(vector=np.random.rand(384), text="fox", k=5, filter={"lang": "en"})
# pandas
docs.upsert_dataframe(df, id_column="id", vector_column="embedding", text_column="body")
results = docs.search(text="fox", k=10, as_dataframe=True)
# A plain vector index
index = hl.HnswIndex(dim=128, metric=hl.Metric.L2)
index.add(np.arange(10_000), np.random.rand(10_000, 128))
ids, distances = index.search_batch(np.random.rand(5, 128), k=10) # arrays of shape (5, 10)
docs.close()
Wheels for Linux (x86-64, ARM64), macOS (Intel, Apple Silicon) and Windows, for CPython 3.9 to 3.13. See docs/python.md for the full guide.
1 maintainer
Metadata
1 maintainer
Release files for hnsw-lite-lib 0.4.0
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| File | Size | Uploaded | Provenance | Actions |
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| hnsw_lite_lib-0.4.0.tar.gz | 300.8 kB | With provenance | Details for hnsw_lite_lib-0.4.0.tar.gz |
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Total release size: 19.9 MB
Release files / hnsw_lite_lib-0.4.0.tar.gz
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