rig-qdrant
| Crates.io | rig-qdrant |
| lib.rs | rig-qdrant |
| version | |
| source | src |
| created_at | 2024-11-04 17:36:16.729786 |
| updated_at | 2024-12-03 22:03:24.061973 |
| description | Rig vector store index integration for Qdrant. https://qdrant.tech |
| homepage | |
| repository | https://github.com/0xPlaygrounds/rig |
| max_upload_size | |
| id | 1435390 |
| Cargo.toml error: | TOML parse error at line 17, column 1 | 17 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
| size | 0 |
(cvauclair)
documentation
README
Rig-Qdrant
Vector store index integration for Qdrant. This integration supports dense vector retrieval using Rig's embedding providers. It is also extensible to allow all hybrid queries supported by Qdrant.
You can find end-to-end examples here.