relyloop/CITATION.cff at main · SoundMindsAI/relyloop · GitHub

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cff-version: 1.2.0
message: "If you use RelyLoop in your research, please cite it as below."
title: "RelyLoop: automated Bayesian search-relevance tuning for Elasticsearch, OpenSearch, and Apache Solr"
abstract: >-
  RelyLoop is an open-source tool that runs automated Bayesian search-space
  optimization (Optuna/TPE) across the full query-time search space on
  Elasticsearch, OpenSearch, and Apache Solr, and ships winning configurations
  as Pull Requests to a central search-config Git repository for human review
  and merge. A conversational LLM agent describes the loop and proposes the
  search space.
type: software
authors:
  - given-names: Eric
    family-names: Starr
    affiliation: "soundminds.ai"
    email: eric.starr@soundminds.ai
repository-code: "https://github.com/SoundMindsAI/relyloop"
url: "https://github.com/SoundMindsAI/relyloop"
license: Apache-2.0
version: v0.1.3
date-released: "2026-05-29"
keywords:
  - search relevance
  - information retrieval
  - Bayesian optimization
  - Optuna
  - Elasticsearch
  - OpenSearch
  - Apache Solr
  - learning to rank
  - relevance engineering
  - LLM as judge