Search for documents
POST/ai/embeddings/similarity-search
Perform a similarity search on a Telnyx Storage Bucket, returning the most similar num_docs document chunks to the query.
Currently the only available distance metric is cosine similarity which will return a distance between 0 and 1.
The lower the distance, the more similar the returned document chunks are to the query.
A certainty will also be returned, which is a value between 0 and 1 where the higher the certainty, the more similar the document.
You can read more about Weaviate distance metrics here: Weaviate Docs
If a bucket was embedded using a custom loader, such as intercom, the additional metadata will be returned in the
loader_metadata field.
Request
Responses
200:
Successful Response
422:
Validation Error