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Add a RAG via Elasticsearch, Hugging Face models cookbook #124

Merged
merged 8 commits into from
Jun 26, 2024
Merged

Add a RAG via Elasticsearch, Hugging Face models cookbook #124

merged 8 commits into from
Jun 26, 2024

Commits on Jun 21, 2024

  1. Add an RAG via Elasticsearch cookbook 

    I thought it would be useful to provide a cookbook for a RAG
backed by Elasticsearch, Huggingface models, and Gemma.

Users can easily toggle between vectorisation that is offloaded
to ES and self-provided (pre)-vectorisation.

This is based on the excellent MongoDB notebook and dataset.

Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 21, 2024
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Commits on Jun 25, 2024

  1. Address review feedback 

    Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 25, 2024
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Commits on Jun 26, 2024

  1. Review feedback 

    Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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  2. Review feedback 

    Move the embedding and embedding model-related settings down.

Add some links and info

Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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  3. * Tested with 8.13 as well 

    * Fix Eland version to avoid breaking changes
* Switch to CPU usage by default

Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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  4. Add testing with 8.14.x 

    Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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  5. Remove 8.12, move to fixed datasets instead of updating panda 

    Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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  6. Remove datasets from first dep install 

    Signed-off-by: lloydmeta <[email protected]>
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    lloydmeta committed Jun 26, 2024
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