Design vector storage for RAG and semantic search: pgvector setup, embedding model selection, chunking strategies, HNSW vs IVFFlat index comparison, hybrid search (dense + sparse), and metadata filtering.
The canonical home for this skill is vector-database-design in JaviMontano/mao-sovereign-architect
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