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# Vector Stores
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Vector database operations for retrieval-augmented generation (RAG) applications with file management and batch processing.
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## Capabilities
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### Vector Store Management
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```python { .api }
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class VectorStores:
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    def create(self, **kwargs): ...
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    def list(self, **kwargs): ...
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    def retrieve(self, **kwargs): ...
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    def update(self, **kwargs): ...
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    def delete(self, **kwargs): ...
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    files: VectorFiles
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    file_batches: VectorFileBatches
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class VectorFiles:
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    def create(self, **kwargs): ...
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    def list(self, **kwargs): ...
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    def retrieve(self, **kwargs): ...
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    def delete(self, **kwargs): ...
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class VectorFileBatches:
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    def create(self, **kwargs): ...
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    def list(self, **kwargs): ...
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    def retrieve(self, **kwargs): ...
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    def cancel(self, **kwargs): ...
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```
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## Usage Examples
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```python
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from portkey_ai import Portkey
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portkey = Portkey(
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    api_key="PORTKEY_API_KEY",
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    virtual_key="VIRTUAL_KEY"
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)
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# Create vector store
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vector_store = portkey.beta.vector_stores.create(
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    name="Knowledge Base"
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)
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# Add files to vector store
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portkey.beta.vector_stores.files.create(
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    vector_store_id=vector_store.id,
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    file_id="file-123"
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)
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# Create file batch
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batch = portkey.beta.vector_stores.file_batches.create(
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    vector_store_id=vector_store.id,
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    file_ids=["file-123", "file-456"]
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)
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```