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Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Results 425 ragas issues
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[X] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug. **Describe the bug** When trying to reproduce the code from [Ragas documentation](https://docs.ragas.io/en/stable/howtos/integrations/llamaindex.html) The following line of...

bug
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[ ] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug. **Describe the bug** A clear and concise description of what the bug is. Ragas version:...

bug
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Hi, I've been using the TestsetGenerator with default and other adjusted question type distributions, but in nearly all cases using a a test_size of 20-50, I get very few results...

stale

[ .] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug. **Describe the bug** following [this guide](https://docs.ragas.io/en/stable/howtos/applications/compare_llms.html#id1) runs into an error instead of running successfully because...

bug
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**Describe the bug** Seems like `context_recall` is not working in Azure OpenAI Ragas version: v0.1.1 Python version: **Code to Reproduce** this was from a user, but will try to reproduce...

bug
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In our practical use, we have found that in addition to the existing metrics of RAGAS, we also place great importance on metrics related to the quality of the answers...

enhancement
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When I evaluated the last piece of data (Evaluating 99%), the program got stuck. I had to run the entire evaluation process from scratch. Can I cache the intermediate results...

bug
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**Describe the bug** Hi, I am trying to setup evaluation on my custom dataset using Ragas but getting the following error when trying to evaluate for context_recall metric: ```bash evaluating...

stale

**Describe the Feature** A class to generate synthetic questions or dataset from existing document store or Index. **Why is the feature important for you?** This will reduce LLM calls and...

enhancement
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**Describe the bug** LangchainLLMWrapper has .generate_text() function which further calls .generate_prompt() of the underlying LLM. The LangchainLLMWrapper passes 'temperature' parameter in .generate_prompt() function which causes the following issues, 1. temperature...

bug
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