Metadata-Version: 2.3
Name: swarmauri_vectorstore_annoy
Version: 0.7.0.dev5
Summary: Swarmauri Annoy 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: annoy (>=1.17.3)
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_embedding_doc2vec
Requires-Dist: swarmauri_standard
Description-Content-Type: text/markdown

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---

# Annoy Vector Store

A vector store implementation using Annoy as the backend for efficient similarity search and nearest neighbor queries.

## Installation

```bash
pip install swarmauri_vectorstore_annoy
```

## Usage

```python
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)
```

## 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.

