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Add a new method named searchSimilarDocuments() (adapt the case to the language) having 1 parameter. This parameter is an object corresponding to the body you should pass to the POST /similar route. Do not manage error, Meilisearch will handle them if a field is missing in the body.
Do NOT implement the route for GET /indexes/{index_uid}/similar, we will add it in a second iteration if requested.
Add tests. Here is the basic test to do to check everything is fine
I would like to work on this. But the only thing I had was, when calling the api from my local. {method=POST host="localhost:7700" route=/indexes/movies/similar query_parameters= user_agent=curl/8.1.1 status_code=400 error=Using the similar API requires enabling the vector store experimental feature. See https://github.com/meilisearch/product/discussions/677}py
Following this central issue
This is related to a newly introduced feature in Meilisearch v1.9.0: get similar documents.
Refer to docs for more information.
searchSimilarDocuments()
(adapt the case to the language) having 1 parameter. This parameter is an object corresponding to the body you should pass to thePOST /similar
route. Do not manage error, Meilisearch will handle them if a field is missing in the body.Do NOT implement the route for
GET /indexes/{index_uid}/similar
, we will add it in a second iteration if requested..code-samples.meilisearch.yaml
get_similar_post_1
key and “translate” the following curl example by using the newly added methods: https://github.com/meilisearch/documentation/blob/04f26a35771305378ed0a506f4d60ef06d07bd7e/.code-samples.meilisearch.yaml#L1333-L1340The text was updated successfully, but these errors were encountered: