docs: fix search (#1491)

Add few more items to how tos
Keep files not 0.2 ready from appearing in search

Author: shahules786

docs/howtos/applications/add_to_ci.md

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 # Adding to your CI pipeline with Pytest
 
 You can add Ragas evaluations as part of your Continious Integration pipeline 

docs/howtos/applications/compare_embeddings.md

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 # Compare Embeddings for retriever
 
 The performance of the retriever is a critical and influential factor that determines the overall effectiveness of a Retrieval Augmented Generation (RAG) system. In particular, the quality of the embeddings used plays a pivotal role in determining the quality of the retrieved content.

docs/howtos/applications/compare_llms.md

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 # Compare LLMs using Ragas Evaluations
 
 The llm used in the Retrieval Augmented Generation (RAG) system has a major impact in the quality of the generated output. Evaluating the results generated by different llms can give an idea about the right llm to use for a particular use case.

docs/howtos/applications/custom_prompts.md

@@ -11,6 +11,9 @@ How to customize various aspects of Ragas to suit your needs.
 - [Modify prompts in metrics](metrics/modifying-prompts-metrics.ipynb)
 - [Write your own metrics](metrics/write_your_own_metric.ipynb)
 - [Adapt metrics to target language](metrics/metrics_language_adaptation.ipynb)
+- [Estimate cost of evaluation with metrics](metrics/cost.ipynb)
+- [Tracing evaluations with Observability tools](metrics/tracing.md)
+
 
 ## Testset Generation