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# MachineIntelligence-TextAnalytics-TPLDataFlows
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## Machine Intelligence Text Analytics Enrichment implemented using Task Parallel Library Data Flow Pipelines:
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* Document Enrichment Pipeline - Builds the entire Vector Database using OpenAI embeddings in SQL using 50 selected books
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* Q&A Over Vector Database Pipeline - Searches the SQL Vector Database with provided question phrase using Semantic Kernel
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* Total Text (OpenAI) Tokens Processed:...............8,267,408
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* Total Text (Characters) Length Processed:..........33,702,085
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* Total cost for processing and building Vector Database using OpenAI Embeddings (Feb 2024 prices):..~$0.84 (~84 cents; this depends on how the chunking of text is configured)
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* Document Enrichment Pipeline - Builds the entire Vector Database using OpenAI embeddings in SQL using 50 selected books
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* Q&A Over Vector Database Pipeline - Searches the SQL Vector Database with provided question phrase using Semantic Kernel
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* Total Text (OpenAI) Tokens Processed:...............8,267,408
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* Total Text (Characters) Length Processed:..........33,702,085
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* Total cost for processing and building Vector Database using OpenAI Embeddings (Feb 2024 prices):..~$0.84 (~84 cents; this depends on how the chunking of text is configured)
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![TPL Pipeline](https://github.com/bartczernicki/MachineIntelligence-TextAnalytics-TPLDataFlows/blob/master/TPLDataFlows-Pipeline.png)
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