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Vector stores

Embedding indices for retrieval augmented generation. Pre-built, cosine- or dot-product-ready, with the source corpus and embedding model documented.

RAG application teams use marketplace vector stores instead of rebuilding indices from scratch — the source corpus, chunking strategy, and embedding model are all disclosed.