Swarmauri VectorStore Annoy
A vector store implementation using Annoy as the backend for efficient similarity search and nearest neighbor queries.
Installation
pip install swarmauri_vectorstore_annoy
Usage
from swarmauri.vector_stores.AnnoyVectorStore import AnnoyVectorStore
from swarmauri_standard.documents.Document import Document
# Initialize vector store
vector_store = AnnoyVectorStore(
collection_name="my_collection",
vector_size=100
)
vector_store.connect()
# Add documents
documents = [
Document(content="first document"),
Document(content="second document"),
Document(content="third document")
]
vector_store.add_documents(documents)
# Retrieve similar documents
results = vector_store.retrieve(query="document", top_k=2)
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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_vectorstore_annoy 0.10.0
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| swarmauri_vectorstore_annoy-0.10.0.tar.gz | 8.4 kB | Details |
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| swarmauri_vectorstore_annoy-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.9 kB
Release files / swarmauri_vectorstore_annoy-0.10.0.tar.gz
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Release files / swarmauri_vectorstore_annoy-0.10.0-py3-none-any.whl
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| Tags | Python 3 |
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