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* Fix edge sparse vector search panic on score postprocessing The distance lookup for score postprocessing only checked dense vector configs, causing a panic when searching sparse vectors. Fall back to Distance::Dot for sparse vectors, matching the full server behavior. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Address PR review: return error instead of panic, fix example - Replace panic! with OperationError::service_error for unknown vector names in edge search, avoiding process crash on bad client input - Update stale "panics" comments and add assertions in sparse-search example Made-with: Cursor --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Cursor Agent <agent@cursor.com>
Qdrant Edge
Qdrant Edge is a lightweight, in-process vector search engine designed for embedded devices, autonomous systems, and mobile agents. It enables on-device retrieval with minimal memory footprint, no background services, and optional synchronization with Qdrant Cloud.
For connecting to remote Qdrant instances, use the qdrant-client package instead.
- Website: https://qdrant.tech/edge/
- Documentation: https://qdrant.tech/documentation/edge/
- Examples: https://github.com/qdrant/qdrant/tree/dev/lib/edge/python/examples