Optionalretriever_model to use for retrieval phase
Optionalembedder_model to use for embedding generation
Optionalranker_model to use for ranking/reranking phase
Optionaluser_user embedding vector for personalized search
Optionalaction_sequence of user actions (item ids) for recommendations
Optionalhnsw_hnsw ef parameter for speed/accuracy tradeoff (higher = more accurate but slower)
Optionalwith_include embedding vectors in results
Optionalwith_include item metadata in results (true = all fields, false = id only, string[] = specific fields)
Optionaluse_use faiss index instead of hnsw (alternative algorithm)
Optionaluse_use knn algorithm instead of hnsw
Optionalitem_specific item id for similarity search
Optionalimagebase64-encoded image for visual/multimodal search (max 50mb)
content selection search options
advanced configuration options for content selection requests. controls models, algorithms, and output formatting.