Automated REtrieval from TExt
Overview
A Python based pipeline for extraction of species occurrence data through the usage of large language models. Includes validation tools designed to handle model hallucinations for a scientific, rigorous use of LLM. Currently supports usage of GPT with more planned, including local and non-proprietary models. For more details on the methodology used please consult the references listed under each function, such as Kent, A. et al. (1995) doi:10.1002/asi.5090060209, van Rijsbergen, C.J. (1979, ISBN:978-0408709293, Levenshtein, V.I. (1966) https://nymity.ch/sybilhunting/pdf/Levenshtein1966a.pdf and Klaus Krippendorff (2011) https://repository.upenn.edu/handle/20.500.14332/2089.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 6 earlier changesHide 6 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-04-10
- ERROR13 OK, 1 ERROR2026-04-09
- OK14 OK2026-03-10
Documentation
- Help pages
- 22includes a package overview page
- Examples that run
- 70%14 run in a plain check · 6 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 14%
- Package workflow HTML
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2Latest
- 0.12025-10-20
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-20
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.3.0
- Download size
- 833 KB
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