retriv
A Python Search Engine for Humans 馃ジ
Not yet testedsource: GitHubPythonMITcommit 0c418a87f06a
Python, MIT licensed. The project labels itself: bm25, dense retrieval, hybrid retrieval, information retrieval, numba, search, search engine and search engine optimization.
retriv has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
bm25dense-retrievalhybrid-retrievalinformation-retrievalnumbasearchsearch-enginesearch-engine-optimizationsemantic-searchsparse-retrievaltf-idf
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/retriv)Questions
- Does retriv run?
- retriv has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test retriv?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for retriv?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.