Provides tools for implementing Retrieval-Augmented Generation
(RAG) workflows with Large Language Models (LLM). Includes functions for
document processing, text chunking, embedding generation, storage
management, and content retrieval. Supports various document types and
embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default
storage backend. Integrates with the 'ellmer' package to equip chat objects
with retrieval capabilities. Designed to offer both sensible defaults and
customization options with transparent access to intermediate outputs.
For a review of retrieval-augmented generation methods, see Gao et al. (2023)
"Retrieval-Augmented Generation for Large Language Models: A Survey"
<doi:10.48550/arXiv.2312.10997>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
DBI, duckdb (≥ 1.2.2), glue, rlang (≥ 1.1.0), dplyr, httr2, rvest, stringi, tibble, vctrs, tidyr, xml2, methods, S7, reticulate (≥ 1.42.0), commonmark, blob, cli, curl, withr, dotty |
| Suggests: |
pandoc, ellmer, knitr, rmarkdown, stringr, dbplyr, testthat (≥ 3.0.0), paws.common, shiny |
| Published: |
2025-05-30 |
| DOI: |
10.32614/CRAN.package.ragnar |
| Author: |
Tomasz Kalinowski [aut, cre],
Daniel Falbel [aut],
Posit Software, PBC  [cph,
fnd] |
| Maintainer: |
Tomasz Kalinowski <tomasz at posit.co> |
| BugReports: |
https://github.com/tidyverse/ragnar/issues |
| License: |
MIT + file LICENSE |
| URL: |
http://ragnar.tidyverse.org/, https://github.com/tidyverse/ragnar |
| NeedsCompilation: |
yes |
| Materials: |
README NEWS |
| CRAN checks: |
ragnar results |