**Evaluation: Assessing Text Performance with Precision ππ‘**
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Evaluation is a comprehensive tool designed to measure the performance of text-based inputs, enabling data-driven optimization and improvement π.
**Text Evaluation 101 π**
Using robust framework for assessing reference and candidate texts across various metricsπ, ensure that the text outputs are high-quality and meet specific requirements and standardsπ.
| **Evaluation** | **Description** | **Links** |
| -------------- | --------------- | --------- |
| **Evaluating Prompts with Prompttools π€** | Compare, visualize & evaluate **embedding functions** (incl. OpenAI) across metrics like latency & custom evaluation ππ | [][prompttools_github]
[][prompttools_colab] |
| **Evaluating RAG with RAGAs and GPT-4o π** | Evaluate **RAG pipelines** with cutting-edge metrics and tools, integrate with CI/CD for continuous performance checks, and generate responses with GPT-4o π€π | [][RAGAs_github]
[][RAGAs_colab] |
[prompttools_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/prompttools-eval-prompts
[prompttools_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/prompttools-eval-prompts/main.ipynb
[RAGAs_github]: https://github.com/lancedb/vectordb-recipes/blob/main/examples/Evaluating_RAG_with_RAGAs
[RAGAs_colab]: https://colab.research.google.com/github/lancedb/vectordb-recipes/blob/main/examples/Evaluating_RAG_with_RAGAs/Evaluating_RAG_with_RAGAs.ipynb