Vector embeddings are approximation engines that are excellent at finding semantically similar content, but systematically weak at distinguishing specific entities ...
The vector database startup Qdrant wants to tailor its open-source database and vector search engine more specifically to modern use cases in the field of AI and search, in particular Retrieval ...
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