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Abdon Pijpelink
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* Qdrant Edge partial snapshot docs * Restructure and edits * Break data syncing into two pages * Add diagrams * Broken links
44 lines
2.7 KiB
Markdown
44 lines
2.7 KiB
Markdown
---
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title: "Qdrant Edge"
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weight: 13
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partition: qdrant
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---
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<aside role="status">Qdrant Edge is in beta. The API and functionality may change in future releases.</aside>
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# What Is Qdrant Edge?
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Qdrant Edge is a lightweight, embedded vector search engine for AI on devices like robots, kiosks, home assistants, and mobile phones. Designed for real-time vector search on edge devices with limited computational resources, Qdrant Edge allows applications to use Qdrant's functionality even with intermittent or no internet connectivity.
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Qdrant Edge does not run as a separate process. Instead, it runs inside an application process. Data is stored and queried locally on the device, ensuring low-latency access and enhanced privacy since data does not need to be transmitted to an external server. That said, Qdrant Edge provides APIs to [synchronize data with a Qdrant server](/documentation/edge/edge-data-synchronization-patterns/). This enables you to offload heavy computations such as indexing to more powerful server instances, back up and restore data, and centrally aggregate data from multiple edge devices.
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## Qdrant Edge Shard
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Qdrant Edge is built around the concept of an **Edge Shard**: a self-contained storage unit that can operate independently on edge devices. Each Edge Shard manages its own data, including vector and payload storage, and can perform local search and retrieval operations.
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To work with a Qdrant Edge Shard from a Python application, use the [Python Bindings for Qdrant Edge](https://pypi.org/project/qdrant-edge-py/) package. This package provides an `EdgeShard` class with methods to manage data, query it, and restore snapshots:
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- `update`: Updates the data.
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- `query`: Queries the data.
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- `scroll`: Returns all points.
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- `count`: Returns the number of points.
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- `retrieve`: Retrieves points with the given IDs.
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- `flush`: Flushes the data to ensure that all writes have been persisted to disk.
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- `close`: Cleanly destroys the shard instance, ensuring the data is flushed. The data is persisted on disk and can be used to create another shard.
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- `info`: Returns metadata information about the shard.
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- `unpack_snapshot`: Unpacks a snapshot on disk.
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- `snapshot_manifest`: Returns the current shard’s snapshot manifest.
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- `update_from_snapshot`: Applies a snapshot to the shard.
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## Using Qdrant Edge
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To get started with Qdrant Edge, refer to the [Qdrant Edge Quickstart Guide](/documentation/edge/edge-quickstart/).
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## More Examples
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More examples and advanced usage of Qdrant Edge API can be found in the [GitHub repository](https://github.com/qdrant/qdrant/tree/master/lib/edge/python/examples).
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