xyberos-faiss
FAISS VectorStore plugin — RFC-0019, M4. A purely local, no-server vector
store backed by FAISS. Passes the
same parity scenarios as the stdlib SqliteVectorStore (the M4 Definition of
Done).
Install
pip install -e ./faiss
pip install faiss-cpu # or: pip install xyberos[vectors]
faiss-cpuwheels are available on PyPI for Linux/macOS; on Windows use a conda env or run the parity tests on a platform with wheels — the tests skip cleanly when the module is absent.
Usage
from xyberos import create_app
from xyberos_faiss import FaissPlugin
app = create_app()
app.load_plugin(FaissPlugin())
store = app.resolve("vector_store")
store.upsert("ns", "doc-1", [1.0, 0.0, 0.0, 0.0], {"text": "alpha"})
hits = store.query("ns", [1.0, 0.0, 0.0, 0.0], top_k=3)
Design
- Each namespace is an in-memory
faiss.IndexFlatIPover L2-normalized vectors, so inner-product scores equal cosine similarity (higher = more relevant, matching theVectorStorecontract). dimis optional and auto-detected from the first upsert (FAISS_DIMenv honored).faissis imported lazily; a clearProviderErroris raised when it is missing.
Tests
pip install pytest
pytest tests/ # unit + parity + plugin tests
Parity tests run the exact scenarios the SqliteVectorStore reference passes;
they skip cleanly when faiss-cpu is not importable on the current platform.
Ship location
[vectors] extra (faiss-cpu already added to pyproject.toml).
1 maintainer
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