Feature stores are a pillar of traditional machine learning. But do they transfer to the LLM era? I think they do! Here's a blog diving into how and why you should use them: https://
blog.langchain.dev/feature-stores
-and-llms/
… Here's an example notebook for @langchain
: https://
python.langchain.com/en/latest/modu
les/prompts/prompt_templates/examples/connecting_to_a_feature_store.html
…

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