Adding more /v1s

cohere-ai · Oct 1, 2024 · ea371ef · ea371ef
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diff --git a/fern/pages/changelog/2024-01-02-release-notes-january-x-2024.mdx b/fern/pages/changelog/2024-01-02-release-notes-january-x-2024.mdx
@@ -14,7 +14,7 @@ One of the most exciting applications of generative AI is known as ["retrieval a
 
 Cohere has made it much easier to utilize RAG in bespoke applications via [Connectors](/docs/overview-rag-connectors). As the name implies, Connectors allow you to _connect_ Cohere's generative AI platform up to whatever resources you'd like it to ground on, facilitating the creation of a wide variety of applications -- customer service chatbots, internal tutors, or whatever else you want to build.
 
-Our docs cover how to [create and deploy connectors](/docs/creating-and-deploying-a-connector), [how to manage your connectors ](/docs/managing-your-connector), [how to handle authentication](/docs/connector-authentication), and [more](/docs/connector-faqs)!
+Our docs cover how to [create and deploy connectors](/v1/docs/creating-and-deploying-a-connector), [how to manage your connectors ](/docs/managing-your-connector), [how to handle authentication](/docs/connector-authentication), and [more](/docs/connector-faqs)!
 
 ## Expanded Fine-tuning Functionality
 

diff --git a/fern/pages/text-generation/connectors/connector-faqs.mdx b/fern/pages/text-generation/connectors/connector-faqs.mdx
@@ -21,7 +21,7 @@ If you're finding a lot of duplicates in the results returned by your model, try
 There are a couple of reasons you might be getting results that seem unintuitive or vaguely "off" somehow. Here a few things you can try to resolve this problem:
 
 - Ensure your connector only returns relevant fields; IDs and other extraneous data, for example, can take up the model context and negatively affect results. If you need the fields later for front-end applications, consider using the `excludes` [field for your connector](/reference/create-connector).
-- Ensure the documents returned from the connector follow the [document field recommendations](/docs/creating-and-deploying-a-connector#Document%20Structure%20Recommendations). 
+- Ensure the documents returned from the connector follow the [document field recommendations](/v1/docs/creating-and-deploying-a-connector#Document%20Structure%20Recommendations). 
 - Check what type of search implementation is used for the data store and see if another search implementation may work better.
 - Check the query the model generated to search over your data store, which is available in the `search_queries` field of its response. It's possible something problematic is happening in this step, and it's a good place to check for leads.
 - Check that the field `prompt_truncation` is set to `AUTO`.

diff --git a/fern/pages/text-generation/retrieval-augmented-generation-rag.mdx b/fern/pages/text-generation/retrieval-augmented-generation-rag.mdx
@@ -260,7 +260,7 @@ co.chat(
 }
 ```
 
-In addition to the Cohere provided `web-search` Connector, you can [register your own custom Connectors](/docs/creating-and-deploying-a-connector) such as Google Drive, Confluence etc.
+In addition to the Cohere provided `web-search` Connector, you can [register your own custom Connectors](/v1/docs/creating-and-deploying-a-connector) such as Google Drive, Confluence etc.
 
 ### Prompt Truncation
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@@ Expand Up / @@ -260,7 +260,7 @@ co.chat( @@
     }
     ```
-    In addition to the Cohere provided `web-search` Connector, you can [register your own custom Connectors](/docs/creating-and-deploying-a-connector) such as Google Drive, Confluence etc.
+    In addition to the Cohere provided `web-search` Connector, you can [register your own custom Connectors](/v1/docs/creating-and-deploying-a-connector) such as Google Drive, Confluence etc.
     ### Prompt Truncation
@@ Expand Down @@