Format, fix link

docs/core_docs/docs/concepts.mdx

@@ -1012,13 +1012,13 @@ There are some additional tricks to improve the quality of your retrieval. Embed
 
 #### Post-processing
 
-Sixth, consider ways to filter or rank retrieved documents. This is very useful if you are [combining documents returned from multiple sources](/docs/integrations/retrievers/cohere-reranker/#doing-reranking-with-coherererank), since it can can down-rank less relevant documents and / or [compress similar documents](/docs/how_to/contextual_compression/#more-built-in-compressors-filters).
+Sixth, consider ways to filter or rank retrieved documents. This is very useful if you are [combining documents returned from multiple sources](/docs/how_to/ensemble_retriever), since it can can down-rank less relevant documents and / or [compress similar documents](/docs/how_to/contextual_compression/#more-built-in-compressors-filters).
 
-| Name                                                           | Index Type | Uses an LLM | When to Use                                                                                                                               | Description                                                                                                                                                                        |
-| -------------------------------------------------------------- | ---------- | ----------- | ----------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [Contextual Compression](/docs/how_to/contextual_compression/) | Any        | Sometimes   | If you are finding that your retrieved documents contain too much irrelevant information and are distracting the LLM.                     | This puts a post-processing step on top of another retriever and extracts only the most relevant information from retrieved documents. This can be done with embeddings or an LLM. |
-| [Ensemble](/docs/how_to/ensemble_retriever/)                   | Any        | No          | If you have multiple retrieval methods and want to try combining them.                                                                    | This fetches documents from multiple retrievers and then combines them.                                                                                                            |
-| [Re-ranking](/docs/integrations/retrievers/cohere-reranker/)   | Any        | Yes         | If you want to rank retrieved documents based upon relevance, especially if you want to combine results from multiple retrieval methods . | Given a query and a list of documents, Rerank indexes the documents from most to least semantically relevant to the query.                                                         |
+| Name                                                                 | Index Type | Uses an LLM | When to Use                                                                                                                              | Description                                                                                                                                                                        |
+| -------------------------------------------------------------------- | ---------- | ----------- | ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [Contextual Compression](/docs/how_to/contextual_compression/)       | Any        | Sometimes   | If you are finding that your retrieved documents contain too much irrelevant information and are distracting the LLM.                    | This puts a post-processing step on top of another retriever and extracts only the most relevant information from retrieved documents. This can be done with embeddings or an LLM. |
+| [Ensemble](/docs/how_to/ensemble_retriever/)                         | Any        | No          | If you have multiple retrieval methods and want to try combining them.                                                                   | This fetches documents from multiple retrievers and then combines them.                                                                                                            |
+| [Re-ranking](/docs/integrations/document_compressors/cohere_rerank/) | Any        | Yes         | If you want to rank retrieved documents based upon relevance, especially if you want to combine results from multiple retrieval methods. | Given a query and a list of documents, Rerank indexes the documents from most to least semantically relevant to the query.                                                         |
 
 :::tip