swarmauri_vectorstore_cloudweaviate 0.7.4.dev20

Swarmauri Weaviate Vector Store

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Swarmauri Vectorstore CloudWeaviate

A Weaviate-based vector store implementation for Swarmauri, providing cloud-based document storage and retrieval with vector similarity search capabilities.

Installation

pip install swarmauri_vectorstore_cloudweaviate

Usage

Here's a basic example of how to use the CloudWeaviateVectorStore:

from swarmauri.vector_stores.CloudWeaviateVectorStore import CloudWeaviateVectorStore
from swarmauri.documents.Document import Document

# Initialize the vector store
vector_store = CloudWeaviateVectorStore(
    url="your-weaviate-url",
    api_key="your-api-key",
    collection_name="example",
    vector_size=100
)

# Connect to Weaviate
vector_store.connect()

# Add documents
document = Document(
    id="doc-001",
    content="This is a sample document content.",
    metadata={"author": "Alice", "date": "2024-01-01"}
)
vector_store.add_document(document)

# Retrieve similar documents
results = vector_store.retrieve(query="sample content", top_k=5)

# Clean up
vector_store.disconnect()

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