> ## Documentation Index > Fetch the complete documentation index at: https://docs.athina.ai/llms.txt > Use this file to discover all available pages before exploring further. # Athina Evals ### Quick Start Guides Run 40+ preset evals or your own custom evals in just a few lines of code using our python SDK. Run 40+ preset evals or your own custom evals on any dataset. Compare retrievals and responses from different datasets, and run evaluations on both datasets. Configure evaluations to run continuously on production logs to measure quality, and detect hallucinations. Run evals in your CI / CD pipeline to prevent regressions, and ensure that bad prompts / models don't get to production. Detect bad inputs and outputs in real-time. *** ### Preset Evaluators Athina has a large library of preset evaluators to cover all kinds of common use cases. However, evals are not one-size-fits-all. Which is why Athina supports many ways to use custom evals, or even create your own. [Schedule a call](https://cal.com/shiv-athina/30min) with us, and we'll set up your evaluation and safety suite for you. #### Hallucinations Detect hallucinations and measure quality of RAG apps in a few minutes. Detect hallucinations and measure accuracy of LLM-generated summaries. #### Safety Fails if Prompt Injection attack is found in the text. Detect common Prompt Injection attacks. Detect common Prompt Injection attacks. Detect common Prompt Injection attacks. #### RAG Use a suite of Ragas + Athina evals to measure the quality of your retrievals and responses for RAG apps. Ragas is a popular open-source library with state-of-the-art evals for RAG use cases. Checks if the retrieved context contains enough information to answer the query. Checks if the LLM response completely answers the query. Checks if the LLM response was faithful to the provided context Checks the LLM response sentence-by-sentence to find evidence of each sentence in the provided context. #### Grounded evals If you have ground truth data, you may use these evals {" "} These evaluators look at the entire chat instead of just a single message. #### Conversation evals {" "} These evaluators look at the entire chat instead of just a single message. #### Custom evals Learn how you can use custom evals on Athina. #### Function evals A set of preset functions for quick evaluation. #### Write your own eval Learn how you can write python code as an eval. #### We can build evals for you Schedule a call with us - we are happy to create custom evaluators for your use case. We are happy to integrate with new libraries. Send us an email at [hello@athina.ai](mailto:hello@athina.ai).