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Description
Hybrid search is already already supported via meiliSearchParams:
meiliSearchParams: { hybrid: { embedder: 'openai', semanticRatio: 0.7, }, },
However, for user provided embeddings, there is an additional step to vectorize the query and pass the embedding to the vector search parameter:
curl -X POST -H 'content-type: application/json' \ 'localhost:7700/indexes/products/search' \ --data-binary '{ "vector": [0, 1, 2] }'
Is there a way to pass this vector search parameter in instant-meilisearch?
Reference
https://www.meilisearch.com/docs/learn/ai_powered_search/search_with_user_provided_embeddings
The text was updated successfully, but these errors were encountered:
Successfully merging a pull request may close this issue.
Description
Hybrid search is already already supported via meiliSearchParams:
meiliSearchParams: { hybrid: { embedder: 'openai', semanticRatio: 0.7, }, },
However, for user provided embeddings, there is an additional step to vectorize the query and pass the embedding to the vector search parameter:
curl -X POST -H 'content-type: application/json' \ 'localhost:7700/indexes/products/search' \ --data-binary '{ "vector": [0, 1, 2] }'
Is there a way to pass this vector search parameter in instant-meilisearch?
Reference
https://www.meilisearch.com/docs/learn/ai_powered_search/search_with_user_provided_embeddings
The text was updated successfully, but these errors were encountered: