mirror of https://github.com/qdrant/qdrant.git synced 2026-07-28 13:41:08 -05:00

Files

Jojii e58be0c380 [TQDT] API (#9172 )

* [ai] TQDT in the API

* [ai] unify new sparse error for TQDT

* Rename to `turbo4`

* Add `Turbo4` to comments and doc strings.

* Also validate named sparse vector creation

2026-06-03 14:53:11 +02:00

codegen

Add doc for #[pyclass_repr] (#8110 )

2026-02-13 09:55:46 +01:00

examples

feat/edge-bm25 (#8827 )

2026-06-03 14:47:48 +02:00

src

[TQDT] API (#9172 )

2026-06-03 14:53:11 +02:00

Cargo.toml

Bump edge packages (Python + Rust) to 0.7.1 (#9228 )

2026-06-03 14:53:10 +02:00

py.typed

Generate *.pyi files for EDGE (#7943 )

2026-02-09 23:17:27 +01:00

pyproject.toml

Generate *.pyi files for EDGE (#7943 )

2026-02-09 23:17:27 +01:00

qdrant_edge.pyi

feat/edge-bm25 (#8827 )

2026-06-03 14:47:48 +02:00

README.md

Test edge examples on CI (#8318 )

2026-03-26 17:51:49 +01:00

README.md

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