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Add semantic search docs #218

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merged 4 commits into from
Oct 29, 2024
Merged

Add semantic search docs #218

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ffc5fb1
add semantic search to yml
mrmer1 Oct 28, 2024
5c4bed1
Merge branch 'main' into sem-search
trentfowlercohere Oct 28, 2024
8adcc9d
Merge branch 'main' into sem-search
trentfowlercohere Oct 28, 2024
986857f
Merge branch 'main' into sem-search
mrmer1 Oct 29, 2024
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2 changes: 1 addition & 1 deletion fern/pages/v2/text-embeddings/semantic-search-embed.mdx
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Expand Up @@ -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.
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2 changes: 2 additions & 0 deletions fern/v1.yml
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Expand Up @@ -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
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4 changes: 3 additions & 1 deletion fern/v2.yml
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Expand Up @@ -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
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