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Copy file name to clipboardExpand all lines: deploy_ai_search_indexes/README.md
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@@ -14,7 +14,7 @@ The associated scripts in this portion of the repository contains pre-built scri
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**Execute the following commands in the `deploy_ai_search_indexes/src/deploy_ai_search_indexes` directory:**
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3. Adjust `image_processing.py` with any changes to the index / indexer. The `get_skills()` method implements the skills pipeline. Make any adjustments here in the skills needed to enrich the data source.
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4. Run `deploy.py` with the following args:
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4. Run `uv run deploy.py` with the following args:
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-`index_type image_processing`. This selects the `ImageProcessingAISearch` sub class.
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-`enable_page_wise_chunking True`. This determines whether page wise chunking is applied in ADI, or whether the inbuilt skill is used for TextSplit. This suits documents that are inheritely page-wise e.g. pptx files.
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-`rebuild`. Whether to delete and rebuild the index.
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**Execute the following commands in the `deploy_ai_search_indexes/src/deploy_ai_search_indexes` directory:**
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3. Adjust `text_2_sql_schema_store.py` with any changes to the index / indexer. The `get_skills()` method implements the skills pipeline. Make any adjustments here in the skills needed to enrich the data source.
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4. Run `deploy.py` with the following args:
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4. Run `uv run deploy.py` with the following args:
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-`index_type text_2_sql_schema_store`. This selects the `Text2SQLSchemaStoreAISearch` sub class.
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-`rebuild`. Whether to delete and rebuild the index.
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**Execute the following commands in the `deploy_ai_search_indexes/src/deploy_ai_search_indexes` directory:**
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3. Adjust `text_2_sql_column_value_store.py` with any changes to the index / indexer.
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4. Run `deploy.py` with the following args:
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4. Run `uv run deploy.py` with the following args:
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-`index_type text_2_sql_column_value_store`. This selects the `Text2SQLColumnValueStoreAISearch` sub class.
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-`rebuild`. Whether to delete and rebuild the index.
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**Execute the following commands in the `deploy_ai_search_indexes/src/deploy_ai_search_indexes` directory:**
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3. Adjust `text_2_sql_query_cache.py` with any changes to the index. **There is an optional provided indexer or skillset for this cache. You may instead want the application code will write directly to it. See the details in the Text2SQL README for different cache strategies.**
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4. Run `deploy.py` with the following args:
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4. Run `uv run deploy.py` with the following args:
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-`index_type text_2_sql_query_cache`. This selects the `Text2SQLQueryCacheAISearch` sub class.
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-`rebuild`. Whether to delete and rebuild the index.
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