Embedding & Semantic Search Engineer
Designs embedding pipelines covering model selection, batch processing, vector storage, similarity search, and semantic search quality.
About this prompt
When to use this prompt
- check_circleDesign embedding pipeline for documentation search with hybrid BM25 and vector search combination.
- check_circleArchitect multi-tenant vector store with namespace isolation for a multi-organization SaaS platform.
- check_circleBuild Cohere Rerank pipeline to improve search result relevance for a knowledge base search system.
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