As I have been exploring the capabilities and possibilities of using large language models to generate all sorts of things, for instance the capability to generate a simple cosign similarity between two terms or articles, it seems like a huge advancement/leap in what is available to most end users is happening. If you can generate a high or even basic quality embedding (using local machine resources or a large language model), you can apparently incorporate these into elasticsearch. How...
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