{"id":16278548,"url":"https://github.com/leo310/rag-chunking-evaluation","last_synced_at":"2026-01-22T01:34:53.680Z","repository":{"id":250106513,"uuid":"822116250","full_name":"Leo310/rag-chunking-evaluation","owner":"Leo310","description":"Assess the effectiveness of chunking strategies in RAG systems via a custom evaluation framework.","archived":false,"fork":false,"pushed_at":"2024-10-17T09:12:22.000Z","size":4652,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-04T22:08:25.925Z","etag":null,"topics":["chunking","evaluation-framework","retrieval","retrieval-augmented-generation"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Leo310.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-06-30T10:45:23.000Z","updated_at":"2024-10-17T09:12:27.000Z","dependencies_parsed_at":"2024-12-06T20:50:28.745Z","dependency_job_id":null,"html_url":"https://github.com/Leo310/rag-chunking-evaluation","commit_stats":{"total_commits":17,"total_committers":2,"mean_commits":8.5,"dds":"0.11764705882352944","last_synced_commit":"c15168dbf0cc9bed6e297689025118477fae240b"},"previous_names":["leo310/rag-chunking-evaluation"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Leo310/rag-chunking-evaluation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Leo310%2Frag-chunking-evaluation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Leo310%2Frag-chunking-evaluation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Leo310%2Frag-chunking-evaluation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Leo310%2Frag-chunking-evaluation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Leo310","download_url":"https://codeload.github.com/Leo310/rag-chunking-evaluation/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Leo310%2Frag-chunking-evaluation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28649491,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-22T01:17:37.254Z","status":"ssl_error","status_checked_at":"2026-01-22T01:17:35.564Z","response_time":86,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["chunking","evaluation-framework","retrieval","retrieval-augmented-generation"],"created_at":"2024-10-10T18:58:55.875Z","updated_at":"2026-01-22T01:34:53.662Z","avatar_url":"https://github.com/Leo310.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RAG Chunking Evaluation\n\nThis repository contains code and datasets for evaluating chunking strategies in Retrieval-Augmented Generation (RAG) systems. The project includes various benchmarks, data loaders, and utility functions to facilitate the evaluation process.\n\n\n## Setup\n\n1. **Clone this repository**\n2. **Create a virtual environment:**\n\n   ```sh\n   python -m venv venv\n   source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n   ```\n\n3. **Install dependencies:**\n\n   ```sh\n   pip install -r requirements.txt\n   ```\n\n4. **Set up environment variables:**\n   Copy `.env.example` to `.env` and fill in the required values.\n\n## Usage\n\nFollow the instructions in the `my_benchmark` notebook to run the proposed chunking evaluation framework. The specific chunking strategies under evaluation are detailed in the `chunking_strategies` notebook.\n\nEach step in the evaluation pipeline generates intermediate results, which are saved in the `data` directory for later review and loading.\n\nThe `experimental` directory includes tests for other benchmarks and evaluation frameworks, such as Ragas, Trulens, and Multi-Hop-RAG.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleo310%2Frag-chunking-evaluation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fleo310%2Frag-chunking-evaluation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fleo310%2Frag-chunking-evaluation/lists"}