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b3a902e035
* add docs and embeddings tutorial pieces * cleanup openai reference * Suggested cleanups; add missing div tag * one more change for clarity (requests per minute)
133 lines
3.3 KiB
Text
133 lines
3.3 KiB
Text
// tag::cohere[]
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[source,console]
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----
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POST _reindex?wait_for_completion=false
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{
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"source": {
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"index": "test-data",
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"size": 50 <1>
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},
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"dest": {
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"index": "cohere-embeddings",
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"pipeline": "cohere_embeddings"
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}
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}
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----
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// TEST[skip:TBD]
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<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
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number makes the update of the reindexing process quicker which enables you to
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follow the progress closely and detect errors early.
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NOTE: The
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https://dashboard.cohere.com/billing[rate limit of your Cohere account]
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may affect the throughput of the reindexing process.
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// end::cohere[]
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// tag::hugging-face[]
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[source,console]
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----
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POST _reindex?wait_for_completion=false
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{
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"source": {
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"index": "test-data",
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"size": 50 <1>
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},
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"dest": {
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"index": "hugging-face-embeddings",
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"pipeline": "hugging_face_embeddings"
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}
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}
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----
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// TEST[skip:TBD]
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<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
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number makes the update of the reindexing process quicker which enables you to
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follow the progress closely and detect errors early.
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// end::hugging-face[]
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// tag::openai[]
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[source,console]
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----
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POST _reindex?wait_for_completion=false
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{
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"source": {
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"index": "test-data",
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"size": 50 <1>
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},
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"dest": {
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"index": "openai-embeddings",
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"pipeline": "openai_embeddings"
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}
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}
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----
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// TEST[skip:TBD]
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<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
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number makes the update of the reindexing process quicker which enables you to
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follow the progress closely and detect errors early.
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NOTE: The
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https://platform.openai.com/account/limits[rate limit of your OpenAI account]
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may affect the throughput of the reindexing process. If this happens, change
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`size` to `3` or a similar value in magnitude.
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// end::openai[]
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// tag::azure-openai[]
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[source,console]
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----
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POST _reindex?wait_for_completion=false
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{
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"source": {
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"index": "test-data",
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"size": 50 <1>
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},
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"dest": {
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"index": "azure-openai-embeddings",
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"pipeline": "azure_openai_embeddings"
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}
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}
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----
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// TEST[skip:TBD]
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<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
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number makes the update of the reindexing process quicker which enables you to
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follow the progress closely and detect errors early.
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NOTE: The
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https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits#quotas-and-limits-reference[rate limit of your Azure OpenAI account]
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may affect the throughput of the reindexing process. If this happens, change
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`size` to `3` or a similar value in magnitude.
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// end::azure-openai[]
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// tag::azure-ai-studio[]
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[source,console]
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----
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POST _reindex?wait_for_completion=false
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{
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"source": {
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"index": "test-data",
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"size": 50 <1>
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},
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"dest": {
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"index": "azure-ai-studio-embeddings",
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"pipeline": "azure_ai_studio_embeddings"
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}
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}
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----
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// TEST[skip:TBD]
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<1> The default batch size for reindexing is 1000. Reducing `size` to a smaller
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number makes the update of the reindexing process quicker which enables you to
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follow the progress closely and detect errors early.
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NOTE: Your Azure AI Studio model deployment may have rate limits in place that
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might affect the throughput of the reindexing process. If this happens, change
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`size` to `3` or a similar value in magnitude.
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// end::azure-ai-studio[]
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