Rethinking your data stack: The future of AI apps and vector databases
summary
Weaviate is an open‑source vector database founded in 2019 and presented as the core of retrieval workflows that link Bedrock, SageMaker, OpenAI, Cohere embeddings to generative models. Key claim: vector search moves beyond keyword lookups to numerical similarity and enables retrieval-augmented generation plus generative feedback loops. Concrete example: an Airbnb dataset with empty descriptions is auto‑populated by a model, saved back with embeddings, and suddenly supports queries like “places in New York to walk my dog.”
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