minivecdb
Ultra-fast 1-bit quantised vector database with TTL garbage collection — Rust native extension for Python.
pip install minivecdb
pip install "minivecdb[langchain]" # + LangChain adapter
Same core as @microvecdb/core (browser / Node.js) — compiled from the same Rust codebase via PyO3 + Maturin.
Quick start
from minivecdb import MiniVecDb
import numpy as np, time
db = MiniVecDb(capacity=10_000)
vec = np.random.randn(384).astype(np.float32)
vec /= np.linalg.norm(vec)
db.insert(id=0, vector=vec.tolist(), inserted_at=time.time() * 1000)
db.build_index(m=16, ef_construction=200)
results = db.search(vec.tolist(), limit=5)
# → [{"id": 0, "score": 1.0, "distance": 0}]
LangChain adapter
from langchain_openai import OpenAIEmbeddings
from minivecdb.langchain import LangChainMiniVecDb
# Ephemeral agent scratchpad — 10 min TTL
with LangChainMiniVecDb(
embedding=OpenAIEmbeddings(model="text-embedding-3-small"),
ttl_minutes=10,
gc_interval_sec=30,
) as memory:
memory.add_texts(["User mentioned ticket #42-ABC."])
docs = memory.similarity_search("what is the ticket number?", k=3)
TTL & GC
Every text has a wall-clock TTL. A daemon GC thread tombstones expired vectors automatically. Set ttl_minutes=0 (default) to disable.
count = store.run_gc() # manual GC cycle — returns tombstone count
store.destroy() # stop GC thread, free native memory
Benchmarks
| Metric | Result |
|---|---|
| Search latency (10k vectors) | 0.08 ms |
| RAM per vector (384-dim) | 48 B (vs 1,536 B f32) |
| Recall@5 (sentence embeddings) | 100% |
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for minivecdb 1.1.0
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Source distribution (sdist)
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| minivecdb-1.1.0.tar.gz | 37.2 kB | With provenance | Details for minivecdb-1.1.0.tar.gz |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| minivecdb-1.1.0-cp39-abi3-win_amd64.whl | CPython 3.9 | abi3 | Windows x86-64 | Details for minivecdb-1.1.0-cp39-abi3-win_amd64.whl |
| minivecdb-1.1.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | abi3 | Linux glibc 2.17+ x86-64 | Details for minivecdb-1.1.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
| minivecdb-1.1.0-cp39-abi3-macosx_11_0_arm64.whl | CPython 3.9 | abi3 | macOS 11.0+ ARM64 | Details for minivecdb-1.1.0-cp39-abi3-macosx_11_0_arm64.whl |
Total release size: 554.4 kB
Release files / minivecdb-1.1.0.tar.gz
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