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Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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[x] I checked the documentation and related resources and couldn't find an answer to my question. **Your Question** Does the idea of generating questions based on personas originate from the...

question

[ ] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug. **Describe the bug** I am trying to generate **ragas testset** for numerous documents using ragas...

bug
module-testsetgen

**Describe the bug** I got an AttributeError: property' object has no attribute 'get' when I try to use evaluate() function to evaluate a dataset with ContextRelevance, LLMContextPrecisionWithoutReference metrics. It's working...

bug
module-metrics

**Describe the Feature** Llama4 is recently released and it is benchmarking as one of the best evaluators. **Why is the feature important for you?** With 10M of context window, I...

enhancement

Hi. I want to extract the output results from the Ragas result object on my local machine. How do I do that?

question

**Description:** This PR adds a helper function to extract token usage from LLMResult or ChatResult, using the `Azure AI` response format returned by `LangChain`. **Key Changes:** - Added `get_token_usage_for_azure_ai` utility,...

size:M

Current implementation of find_indirect_clusters runs at exponential time because the depth-first search always explores every path in the graph. A kg w/ ~3000 relationships takes over 3 hours on a...

size:XXL

**Describe the Feature** Add support for multi-modal testset generation in RAGAS. While RAGAS currently supports multi-modal evaluation through MultiModalRelevance and MultiModalFaithfulness metrics, it lacks the ability to generate multi-modal test...

enhancement
module-testsetgen

A running issue to get feedback on which LLM or Embedding Providers we need to add for you [R-313](https://linear.app/exploding-gradients/issue/R-313/adding-more-llmembedding-providers)

enhancement

Ragas is a great tool but the contents of the website can still be improved. I corrected typos and unified some names (like langchain, Langchain -> LangChain) in Markdown documentation...

size:L