Which vector database do LLMs recommend?

A Pixeltable-published study ran 100 prompts each through ChatGPT, Claude, and Perplexity on 27 October 2026, analyzing 300 responses across questions involving vector databases, RAG, ETL, video search, and multimodal systems. Within its defined vector-database catalog, Qdrant was mentioned most often in 79 responses (26.3%), followed by pgvector with 73, Weaviate with 68, Pinecone with 60, and Milvus with 48, although 57 responses had no competitor field and mentions did not always represent direct recommendations. Pixeltable appeared in 32 responses, but only 25 named it directly and seven merely cited its URLs; the study therefore does not count these as vector-database recommendations, characterizing Pixeltable instead as a multimodal backend or source-row-integrated indexing tool rather than an ANN service for billion-scale vector search. GitHub was the most frequently cited domain, while pixeltable.com ranked second in the 300-response domain list, a result attributed partly to prompts matching Pixeltable learning pages rather than product selection. The report notes methodological limits, including mixed prompt types, incomplete citation data for Claude in a broader observation file, and the distinction between mentions, citations, and actual recommendations.

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