docs: reorder Core Concepts to prioritize experiments and datasets

- Move Experimentation and Datasets to the top with separate cards
- Update metrics description to mention both available and custom metrics
- Remove Feedback Intelligence card from index
- Move Components to the end
- Reorder to match new experiments-first paradigm

Author: sanjeed5

docs/concepts/index.md

@@ -3,41 +3,44 @@
 
 <div class="grid cards" markdown>
 
--   :material-widgets:{ .lg .middle } [__Components Guides__](components/index.md)
+-   :material-flask-outline:{ .lg .middle } [__Experimentation__](experimentation.md)
 
     ---
 
-    Discover the various components used within Ragas.
-    
-    Components like [Prompt Object](components/prompt.md), [Evaluation Dataset](components/eval_dataset.md) and [more..](components/index.md)
+    Learn how to systematically evaluate your AI applications using experiments.
 
+    Track changes, measure improvements, and compare results across different versions of your application.
 
--   ::material-ruler-square:{ .lg .middle } [__Ragas Metrics__](metrics/index.md)
+-   :material-database-export:{ .lg .middle } [__Datasets__](datasets.md)
 
     ---
 
-    Explore available metrics and understand how they work.
+    Understand how to create, manage, and use evaluation datasets.
 
-    Metrics for evaluating [RAG](metrics/available_metrics/index.md#retrieval-augmented-generation), [Agentic workflows](metrics/available_metrics/index.md#agents-or-tool-use-cases) and [more..](metrics/available_metrics/index.md#list-of-available-metrics).
+    Learn about dataset structure, storage backends, and best practices for maintaining your test data.
 
--   :material-database-plus:{ .lg .middle } [__Test Data Generation__](test_data_generation/index.md)
+-   ::material-ruler-square:{ .lg .middle } [__Ragas Metrics__](metrics/index.md)
 
     ---
 
-    Generate high-quality datasets for comprehensive testing.
-
-    Algorithms for synthesizing data to test [RAG](test_data_generation/rag.md), [Agentic workflows](test_data_generation/agents.md) 
+    Use our library of [available metrics](metrics/available_metrics/index.md) or create [custom metrics](metrics/overview/index.md) tailored to your use case.
 
+    Metrics for evaluating [RAG](metrics/available_metrics/index.md#retrieval-augmented-generation), [Agentic workflows](metrics/available_metrics/index.md#agents-or-tool-use-cases) and [more..](metrics/available_metrics/index.md#list-of-available-metrics).
 
--   :material-chart-box-outline:{ .lg .middle } [__Feedback Intelligence__](feedback/index.md)
+-   :material-database-plus:{ .lg .middle } [__Test Data Generation__](test_data_generation/index.md)
 
     ---
 
-    Leverage signals from production data to gain actionable insights.
+    Generate high-quality datasets for comprehensive testing.
 
-    Learn about to leveraging implicit and explicit signals from production data.
+    Algorithms for synthesizing data to test [RAG](test_data_generation/rag.md), [Agentic workflows](test_data_generation/agents.md)
 
+-   :material-widgets:{ .lg .middle } [__Components Guides__](components/index.md)
 
+    ---
 
+    Discover the various components used within Ragas.
+    
+    Components like [Prompt Object](components/prompt.md), [Evaluation Dataset](components/eval_dataset.md) and [more..](components/index.md)
 
 </div>