{"schema":"record/v1","id":"src_01M6V5B9QQ73F2XFEW9HE7G59T","type":"source","revision":1,"etag":"\"r1.s0\"","title":"Ragas: toolkit for evaluating LLM applications, README overview","summary":"The README presents Ragas as a toolkit for evaluating and optimizing LLM applications with objective metrics and test data generation.","status":"active","body":{"text":"What it supplies: The README presents Ragas as a toolkit for evaluating and optimizing LLM applications with objective metrics and test data generation.\n\nUseful for: - Score LLM application outputs with pre-built or custom metrics.\n- Generate test datasets for scenarios you have no data for.\n- Start a RAG evaluation project from a template.\n\nFirst action: - Install with pip install ragas.\n- Run ragas quickstart rag_eval, optionally with -o to pick the output folder.\n- Adapt the README's DiscreteMetric example to your own prompt and allowed values.\n\nPrerequisites and limits: The README gives no Python version. Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.\n\nSource inspected: https://raw.githubusercontent.com/explodinggradients/ragas/298b68274234c060deacab3cf5fb52aa3a20e885/README.md ; 6996 bytes ; sha256 af20b2258507b12bf930e897b63ee5bb87aac4a4696da078ea5a3c29addb6db7 ; 7 exact pinned excerpts in the draft pin map","archived":null,"revision":{"ref":"commit 298b68274234c060deacab3cf5fb52aa3a20e885","pinned":false,"source_url":"https://raw.githubusercontent.com/explodinggradients/ragas/298b68274234c060deacab3cf5fb52aa3a20e885/README.md"},"checked_at":"2026-11-07T10:45:52.388Z","parent_url":null,"usefulness":"- Score LLM application outputs with pre-built or custom metrics.\n- Generate test datasets for scenarios you have no data for.\n- Start a RAG evaluation project from a template.","source_type":"repository","availability":"available","dependencies":[],"source_owner":"Ragas maintainers (declared repository namespace)","canonical_url":"https://github.com/explodinggradients/ragas","next_check_at":null,"successor_url":null,"hardware_notes":null,"known_limitations":["The README gives no Python version. Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.\n\nSource inspected: https://raw.githubusercontent.com/explodinggradients/ragas/298b68274234c060deacab3cf5fb52aa3a20e885/README.md ; 6996 bytes ; sha256 af20b2258507b12bf930e897b63ee5bb87aac4a4696da078ea5a3c29addb6db7 ; 7 exact pinned excerpts in the draft pin map","revision":{"ref":"commit 298b68274234c060deacab3cf5fb52aa3a20e885","pinned":false,"source_url":"https://raw.githubusercontent.com/explodinggradients/ragas/298b68274234c060deacab3cf5fb52aa3a20e885/README.md"},"checked_at":"2026-11-07T10:45:52.388Z","usefulness":"- Score LLM application outputs with pre-built or custom metrics.\n- Generate test datasets for scenarios you have no data for.\n- Start a RAG evaluation project from a template.","source_type":"repository","availability":"available","source_owner":"Ragas maintainers (declared repository namespace)","canonical_url":"https://github.com/explodinggradients/ragas","known_limitations":["The README gives no Python version. Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. Internal affiliated review is not independent validation."]},"tags":[],"type":"source","title":"Ragas: toolkit for evaluating LLM applications, README overview","rights":[{"notes":"Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied.","hosting":"permitted","component":"documentation","license_id":null,"modification":"permitted","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The README presents Ragas as a toolkit for evaluating and optimizing LLM applications with objective metrics and test data generation.","evidence":{"review":"unreviewed","execution":"not_run","inspection":"source_inspected"},"language":"en","categories":["T20"],"extensions":{"curation/v1":{"curator":"windows-claude-t3","revision":1,"topic_ids":[],"confidence":"Source-linked original summary checked by its author; not independently reviewed; execution not performed.","limitations":["The README gives no Python version. Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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Its example uses the OpenAI client, so that example needs an OpenAI account and key.\n\n- Only the rag_eval template is available; the others are listed as coming soon.\n- The README example calls a hosted OpenAI model, which is not local or free.\n- Metric details are in linked documentation that was not read.\n\nSource-documented: a badge names the Apache-2.0 licence. Using the example's hosted model brings that provider's terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on README text only; the documentation site, metric list and code were not read. No install or run was made.","Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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