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One of the neat features we've seen come out of the #GenerativeAI and #ConversationalAI explosion recently has been the attention being paid to text embeddings and how they can be used to radically change how we index and search for things. Allen, however, has recently been working with an image embedding model from Google, including incorporating it into LangChain JS. Mark asks about what that process was like, what this new model lets us do, and starts to explore some of the potential of this new tool that is available for everyone.

References:

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• LangChain JS module: https://js.langchain.com/docs/modules/data_connection/experimental/multimodal_embeddings/google_vertex_ai
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• Information from Google: https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-image-embeddings
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• Google Model Garden info: https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/5
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• XKCD: https://xkcd.com/1425/
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