hydrogen-ai-sqlitevec
Local vector store for hydrogen-ai in a single SQLite file, using sqlite-vec. No server needed.
pip install hydrogen-ai-sqlitevec
from hai.vectorstores import VectorStoreRetriever, VectorStoreWriter
from hai.vectorstores.sqlitevec import SqliteVecStore
store = SqliteVecStore(path="hai.db", collection_name="docs")
writer = VectorStoreWriter(store=store)
retriever = VectorStoreRetriever(store=store, top_k=5)
The tables are created on first use. Their vector size is inferred from the first
embedding unless embedding_dim is given.
sqlite-vec is a SQLite extension, so Python's sqlite3 must be able to load
extensions. Builds from python.org, Homebrew, uv and pyenv can; the Python that
ships with macOS cannot.
1 maintainer
Metadata
1 maintainer
Release files for hydrogen-ai-sqlitevec 0.1.0
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