add semantic search to yml (#218)

Signed-off-by: trentfowlercohere <[email protected]> Co-authored-by: trentfowlercohere <[email protected]>
cohere-ai · Oct 29, 2024 · 85c3a87 · 85c3a87
1 parent e36ffbe
commit 85c3a87
Show file tree

Hide file tree

Showing 3 changed files with 6 additions and 2 deletions.
diff --git a/fern/pages/v2/text-embeddings/semantic-search-embed.mdx b/fern/pages/v2/text-embeddings/semantic-search-embed.mdx
@@ -18,7 +18,7 @@ Semantic search solves the problem faced by the more traditional approach of lex
 ```python PYTHON
 import cohere
 import numpy as np
-co = cohere.Client(api_key="YOUR_API_KEY") # Get your free API key: https://dashboard.cohere.com/api-keys
+co = cohere.ClientV2(api_key="YOUR_API_KEY") # Get your free API key: https://dashboard.cohere.com/api-keys
 ```
 
 The Embed endpoint takes in texts as input and returns embeddings as output.

diff --git a/fern/v1.yml b/fern/v1.yml
@@ -137,6 +137,8 @@ navigation:
         contents:
           - page: Introduction to Embeddings at Cohere
             path: pages/text-embeddings/embeddings.mdx
+          - page: Semantic Search with Text Embeddings
+            path: pages/text-embeddings/semantic-search-embed.mdx
           - page: Multimodal Embeddings
             path: pages/text-embeddings/multimodal-embeddings.mdx
           - page: Batch Embedding Jobs

diff --git a/fern/v2.yml b/fern/v2.yml
@@ -117,7 +117,9 @@ navigation:
       - section: Text Embeddings (Vectors, Search, Retrieval)
         contents:
           - page: Introduction to Embeddings at Cohere
-            path: pages/v2/text-embeddings/embeddings.mdx
+            path: pages/text-embeddings/embeddings.mdx
+          - page: Semantic Search with Text Embeddings
+            path: pages/v2/text-embeddings/semantic-search-embed.mdx
           - page: Multimodal Embeddings
             path: pages/v2/text-embeddings/multimodal-embeddings.mdx
           - page: Batch Embedding Jobs