Metadata-Version: 2.3
Name: swarmauri_vectorstore_cloudweaviate
Version: 0.7.5.dev1
Summary: Swarmauri Weaviate Vector Store
License: Apache-2.0
Author: Jacob Stewart
Author-email: jacob@swarmauri.com
Requires-Python: >=3.10,<3.13
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_embedding_doc2vec
Requires-Dist: swarmauri_standard
Requires-Dist: weaviate-client (>=4.9.2)
Description-Content-Type: text/markdown


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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

```bash
pip install swarmauri_vectorstore_cloudweaviate
```

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

```python
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()
```

## Want to help?

If you want to contribute to swarmauri-sdk, read up on our [guidelines for contributing](https://github.com/swarmauri/swarmauri-sdk/blob/master/contributing.md) that will help you get started.


