hydrogen-ai-qdrant
Qdrant vector store for hydrogen-ai.
pip install hydrogen-ai-qdrant
from hai.vectorstores import VectorStoreRetriever, VectorStoreWriter
from hai.vectorstores.qdrant import QdrantStore
store = QdrantStore(url="http://localhost:6333", collection_name="docs")
# or a local file / in-memory instance:
# store = QdrantStore(path="./qdrant_data")
# store = QdrantStore(location=":memory:")
writer = VectorStoreWriter(store=store)
retriever = VectorStoreRetriever(store=store, top_k=5)
The collection is created on first use. Its vector size is inferred from the first
embedding unless embedding_dim is given.
1 maintainer
Metadata
1 maintainer
Release files for hydrogen-ai-qdrant 0.1.0
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| hydrogen_ai_qdrant-0.1.0.tar.gz | 4.0 kB | Without provenance | Details for hydrogen_ai_qdrant-0.1.0.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| hydrogen_ai_qdrant-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for hydrogen_ai_qdrant-0.1.0-py3-none-any.whl |
Total release size: 8.8 kB
Release files / hydrogen_ai_qdrant-0.1.0.tar.gz
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Release files / hydrogen_ai_qdrant-0.1.0-py3-none-any.whl
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| Size | 4.8 kB |
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