update eval guide

Author: anakin87

tutorials/guide_evaluation.ipynb

@@ -110,7 +110,7 @@
     "### Methods to Improve Generation:\n",
     "\n",
     "- **Ranking**: Incorporate a ranking mechanism into your retrieved documents before providing the context to your prompt\n",
-    "    - **Order by similarity**: Reorder your retrieved documents by similarity using cross-encoder models from Hugging Face with [TransformersSimilarityRanker](https://docs.haystack.deepset.ai/docs/transformerssimilarityranker), Rerank models from Cohere with [CohereRanker](https://docs.haystack.deepset.ai/docs/cohereranker), or Rerankers from Jina with [JinaRanker](https://docs.haystack.deepset.ai/docs/jinaranker)\n",
+    "    - **Order by similarity**: Reorder your retrieved documents by similarity using cross-encoder models from Hugging Face with [SentenceTransformersSimilarityRanker](https://docs.haystack.deepset.ai/docs/sentencetransformerssimilarityranker), Rerank models from Cohere with [CohereRanker](https://docs.haystack.deepset.ai/docs/cohereranker), or Rerankers from Jina with [JinaRanker](https://docs.haystack.deepset.ai/docs/jinaranker)\n",
     "    - **Increase diversity by ranking**: Maximize the overall diversity among your context using sentence-transformers models with [SentenceTransformersDiversityRanker](https://docs.haystack.deepset.ai/docs/sentencetransformersdiversityranker) to help increase the semantic answer similarity (SAS) in LFQA applications.\n",
     "    - **Address the \"Lost in the Middle\" problem by reordering**: Position the most relevant documents at the beginning and end of the context using [LostInTheMiddleRanker](https://docs.haystack.deepset.ai/docs/lostinthemiddleranker) to increase faithfulness.\n",
     "- **Different Generators**: Try different large language models and benchmark the results. The full list of model providers is in [Generators](https://docs.haystack.deepset.ai/docs/generators).\n",