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Vector databases: Shiny object syndrome and the case of a missing unicorn

What matters most to the end user is getting the right answer. Rarely does this come from relying solely on one methodology.

In the chaotic sprint to embrace gen AI and its seemingly straightforward large language model (LLM) architectures, the hiccup comes when organizations forget about use cases and start chasing technology. This paper marked a notable shift towards neural network-based approaches for word representation and laid the foundation for word2vec, GloVe, ELMO, BERT and the current suite of embedding models. Pinecone’s hybrid search comes with a warning as well as limitations, and while some may argue it was ahead of its time, being early to the party doesn’t matter much if the festivities had to wait for the OpenAI revolution a couple of years later.

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