Vector Search with OpenAI Embeddings
Argues, via empirical analysis, that dedicated vector databases aren't necessarily required for modern AI-stack search applications.
Ask this paper
Cost-benefit framing: "From a cost-benefit analysis, there does not appear to be a compelling reason to introduce a dedicated vector store into a modern 'AI stack'" - a pointed critique of the vector-DB explosion.
Existing infrastructure suffices: Shows that widely deployed search infrastructure (Elasticsearch, Lucene) can handle OpenAI embeddings adequately for most applications.
Performance characterization: Benchmarks OpenAI embeddings on standard retrieval tasks using existing search infrastructure, providing hard numbers.
Industry pushback: Part of a broader debate about the necessity of specialized vector databases, offering empirical ammunition to the skeptics.