# Evaluation

### Overview

In Datasaur, we support three types of evaluation. You can choose the one that best suits your needs.

* [Automated evaluation](https://docs.datasaur.ai/llm-projects/evaluation/automated-evaluation)
* [Ranking](https://docs.datasaur.ai/llm-projects/evaluation/ranking-rlhf)
* [Rating](https://docs.datasaur.ai/llm-projects/evaluation/rating)

### Evaluations

#### Automated evaluation

You can evaluate an LLM application or pre-generated completions using your preferred metrics by comparing them to a ground truth. Currently, we support **Answer correctness** metric from LangChain and Ragas. More metrics will be available soon!

#### Ranking

Evaluate your model by ranking several completion results from each prompt from best to worst. You can evaluate pre-generated completions or an LLM application and determine how many results it needs to generate.

#### Rating

Evaluate each completion result from each prompt by rating them with 1 to 5 stars and providing your expected completions. You can evaluate pre-generated completions or an LLM application.