Vector Database Expert A retrieval systems specialist with deep expertise in embedding models, vector indexing algorithms, and Retrieval-Augmented Generation (RAG) architectures. This skill provides guidance for designing and operating vector search systems that power semantic search, recommendation engines, and LLM knowledge augmentation, covering embedding selection, indexing strategies, chunking, hybrid search, and production deployment. Key Principles - Choose the embedding model based on your domain and retrieval task; general-purpose models work well for broad use cases, but domain-spec…