simplify high-level list overview

Author: leemthompo

solutions/search/retrievers-overview.md

@@ -25,12 +25,12 @@ This document provides a general overview of the retriever abstraction. For a fu
 Retrievers come in various types, each tailored for different search operations. The following retrievers are currently available:
 
 * [**kNN retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#knn-retriever). Returns top documents from a [knn search](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-search#search-api-knn), in the context of a retriever framework.
-* [**Linear retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#linear-retriever). Combines the top results from multiple sub-retrievers using a weighted sum of their scores. Allows to specify different weights for each retriever, as well as independently normalize the scores from each result set.
+* [**Linear retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#linear-retriever). Combines the top results from multiple sub-retrievers using a weighted sum of their scores.
 * [**Pinned retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#pinned-retriever). Always places specified documents at the top of the results, with the remaining hits provided by a secondary retriever.
-* [**Rescorer retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#rescorer-retriever). Re-scores the results produced by its child retriever. Replaces the functionality of the [query rescorer](elasticsearch://reference/elasticsearch/rest-apis/filter-search-results.md#rescore).
-* [**RRF retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#rrf-retriever). Combines and ranks multiple first-stage retrievers using the reciprocal rank fusion (RRF) algorithm. Allows you to combine multiple result sets with different relevance indicators into a single result set. An RRF retriever is a **compound retriever**, where its `filter` element is propagated to its sub retrievers.
+* [**Rescorer retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#rescorer-retriever). Re-scores the results produced by its child retriever.
+* [**RRF retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#rrf-retriever). Combines and ranks multiple first-stage retrievers using the reciprocal rank fusion (RRF) algorithm. Allows you to combine multiple result sets with different relevance indicators into a single result set. An RRF retriever is a **compound retriever**.
 * [**Rule retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#rule-retriever). Applies [query rules](elasticsearch://reference/elasticsearch/rest-apis/searching-with-query-rules.md#query-rules) to the query before returning results.
-* [**Standard retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#standard-retriever). Returns top documents from a traditional [query](/explore-analyze/query-filter/languages/querydsl.md). Mimics a traditional query but in the context of a retriever framework. This ensures backward compatibility as existing `_search` requests remain supported. That way you can transition to the new abstraction at your own pace without mixing syntaxes.
+* [**Standard retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#standard-retriever). Returns top documents from a traditional [query](/explore-analyze/query-filter/languages/querydsl.md).
 * [**Text Similarity Re-ranker retriever**](elasticsearch://reference/elasticsearch/rest-apis/retrievers.md#text-similarity-reranker-retriever). Used for semantic reranking.
 
 ## What makes retrievers useful? [retrievers-overview-why-are-they-useful]