DR-654 comment out TODOs (#2623)

developers/weaviate/concepts/_search.md

@@ -28,9 +28,11 @@ Here's a brief overview of each step:
 
 ### Filter
 
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 Filters reduce the number of objects based on specific criteria. This can include:
 
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 ### Search
 
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 Search is about finding the closest, or most relevant data objects. Weaviate supports three primary search types: [vector search](#vector-search), [keyword search](#keyword-search), and [hybrid search](#hybrid-search).
 
@@ -134,19 +138,23 @@ In this case, Weaviate will retrieve objects in order of their UUIDs.
 
 ### Reranking
 
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 Reranking improves search relevance by reordering initial results.
 
 You might ask - why not just use the best model from the start? The answer is that the best models are often computationally expensive. By using a simpler model for the initial search, we can reduce the result set to a manageable size. The reranking algorithm then uses a more computationally expensive model to refine the order of the top results.
 
 ### Generative Search / RAG
 
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 Generative search is another name for Retrieval-Augmented Generation (RAG). RAG uses AI to generate responses based on a prompt, and the added context that is retrieved through the above search process.
 
@@ -241,4 +249,3 @@ Identify fields that contribute most to semantic understanding. Consider combini
 #### Alpha (hybrid search)
 
 - What is the alpha values
-