> ## Documentation Index
> Fetch the complete documentation index at: https://memwirelabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

> Connect MemWire to a vector store.

MemWire stores memories as vector embeddings and requires a vector store for retrieval. Configure the vector store via `MemWireConfig`.

```python theme={null}
from memwire import MemWire, MemWireConfig

config = MemWireConfig(
    qdrant_url="http://localhost:6333",  # or qdrant_path for embedded mode
    qdrant_collection_prefix="app_",
)
memory = MemWire(config=config)
```

## Supported databases

<CardGroup cols={2}>
  <Card title="Qdrant" href="/vector-databases/qdrant">
    Embedded file mode, local Docker server, or managed Qdrant Cloud.
  </Card>
</CardGroup>