Create Embedding for a Set

Embeddings are required in order to use Certara GPT to generate content off a specific document or set of documents.

Pre-Reqs

We will need a setId before we can create the embeddings, we will be using the variable created in Create a Document Set

We will be using the same header from Define Your Header.

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Check Your Imported Modules

Make sure you have imported the requests and json module before proceeding with this guide.

Request Embedding Creation

We can jump right into creating our request, since a body is not required for an embedding to be created.

setId = 'AY6uy7o0U0xLUebQHDvZ'
createSetEmbeddingUrl = f'{envUrl}/layar/savedLists/{setId}/createEmbeddings'

response = requests.post(createSetEmbeddingUrl,
                         headers = header)

print(response.text) #Optional

The printed response will be "200" which indicates the embedding was created.