#documentintelligence — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #documentintelligence, aggregated by home.social.
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🟪 Researcher Agent for Receipt Analysis (My Personal Receipts)
Turn receipts into actionable insights with the Microsoft Researcher Agent.
A demo walks through OneDrive scanning and SharePoint document intelligence.💡 OneDrive scans and SharePoint extraction
🔍 Fields extracted tax subtotal total merchant confidence
⚖️ Tax prep checklist with low confidence flags -
🟪 Researcher Agent for Receipt Analysis (My Personal Receipts)
Turn receipts into actionable insights with the Microsoft Researcher Agent.
A demo walks through OneDrive scanning and SharePoint document intelligence.💡 OneDrive scans and SharePoint extraction
🔍 Fields extracted tax subtotal total merchant confidence
⚖️ Tax prep checklist with low confidence flags -
🟪 Researcher Agent for Receipt Analysis (My Personal Receipts)
Turn receipts into actionable insights with the Microsoft Researcher Agent.
A demo walks through OneDrive scanning and SharePoint document intelligence.💡 OneDrive scans and SharePoint extraction
🔍 Fields extracted tax subtotal total merchant confidence
⚖️ Tax prep checklist with low confidence flags -
Executives say AI boosts productivity but the real gain is just 16 minutes per week
https://fed.brid.gy/r/https://nerds.xyz/2026/03/foxit-ai-productivity-study/
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RAG pipelines often skip crucial data like voltage limits because they slice documents poorly. A new approach—semantic chunking with layout parsing—keeps context intact, boosting document intelligence on Azure. See how this open‑source tweak can sharpen retrieval‑augmented generation for engineers and researchers. #RAG #SemanticChunking #DocumentIntelligence #AzureAI
🔗 https://aidailypost.com/news/rag-systems-miss-data-like-voltage-limits-semantic-chunking-proposed
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RAG pipelines often skip crucial data like voltage limits because they slice documents poorly. A new approach—semantic chunking with layout parsing—keeps context intact, boosting document intelligence on Azure. See how this open‑source tweak can sharpen retrieval‑augmented generation for engineers and researchers. #RAG #SemanticChunking #DocumentIntelligence #AzureAI
🔗 https://aidailypost.com/news/rag-systems-miss-data-like-voltage-limits-semantic-chunking-proposed
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Từ dự án phụ thành sản phẩm thật! Mình đã phát triển ứng dụng trí tuệ tài liệu giúp chuyên gia tiết kiệm thời gian tra cứu thông tin kỹ thuật/quy chuẩn trong các tập tài liệu lớn. Đang tuyển thử nghiệm beta và cộng tác viên để phát triển tính năng mới. Ai quan tâm?
#AI #TrienKhaiPhanMem #DocumentIntelligence #ThuNghiem #VietTech #SaaS #CTUhttps://www.reddit.com/r/SaaS/comments/1pyy0no/from_side_project_to_real_product_looking_for/
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via #AIFoundry : Azure Content Understanding is now generally available
https://ift.tt/aMHvRBo
#AzureContentUnderstanding #MicrosoftIgnite #FoundryTools #AI #GenerativeAI #DocumentIntelligence #DataExtraction #MachineLearning #CloudComputing #IntelligentSolutions #RAG #DataPr… -
via #AIFoundry : Azure Content Understanding is now generally available
https://ift.tt/aMHvRBo
#AzureContentUnderstanding #MicrosoftIgnite #FoundryTools #AI #GenerativeAI #DocumentIntelligence #DataExtraction #MachineLearning #CloudComputing #IntelligentSolutions #RAG #DataPr… -
via #AIFoundry : Azure Content Understanding is now generally available
https://ift.tt/aMHvRBo
#AzureContentUnderstanding #MicrosoftIgnite #FoundryTools #AI #GenerativeAI #DocumentIntelligence #DataExtraction #MachineLearning #CloudComputing #IntelligentSolutions #RAG #DataPr… -
via #AIFoundry : Azure Content Understanding is now generally available
https://ift.tt/aMHvRBo
#AzureContentUnderstanding #MicrosoftIgnite #FoundryTools #AI #GenerativeAI #DocumentIntelligence #DataExtraction #MachineLearning #CloudComputing #IntelligentSolutions #RAG #DataPr… -
via #AIFoundry : Azure Content Understanding is now generally available
https://ift.tt/aMHvRBo
#AzureContentUnderstanding #MicrosoftIgnite #FoundryTools #AI #GenerativeAI #DocumentIntelligence #DataExtraction #MachineLearning #CloudComputing #IntelligentSolutions #RAG #DataPr… -
Azure AI Document Intelligenceの前処理：Word/Excelのルビ（ふりがな）を除去する
https://qiita.com/abachan/items/27e870fbb2675050ae97?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
Azure AI Document Intelligenceの前処理：Word/Excelのルビ（ふりがな）を除去する
https://qiita.com/abachan/items/27e870fbb2675050ae97?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
Azure Document Intelligenceのレイアウトモデルを使ってPDFをMarkdownに変換しRAG用にセマンティックチャンキングを試す
https://qiita.com/h_id32/items/1821bc62f8bb445b6b6d?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
GraphRAGの簡易検証 ~Azure Document Intelligence, Neo4jを用いて~
https://qiita.com/Ruuchami/items/294d797798d4fca346ad?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items -
If anyone works with #azure #DocumentIntelligence #FormRecognizer this seems like a trivial thing but how do I reproduce the "Results" tab from #DocumentIntelligenceStudio Attempting to dump/serialize (python/C#) the poller.results throws an exception about unserializable object
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If anyone works with #azure #DocumentIntelligence #FormRecognizer this seems like a trivial thing but how do I reproduce the "Results" tab from #DocumentIntelligenceStudio Attempting to dump/serialize (python/C#) the poller.results throws an exception about unserializable object
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If anyone works with #azure #DocumentIntelligence #FormRecognizer this seems like a trivial thing but how do I reproduce the "Results" tab from #DocumentIntelligenceStudio Attempting to dump/serialize (python/C#) the poller.results throws an exception about unserializable object
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If anyone works with #azure #DocumentIntelligence #FormRecognizer this seems like a trivial thing but how do I reproduce the "Results" tab from #DocumentIntelligenceStudio Attempting to dump/serialize (python/C#) the poller.results throws an exception about unserializable object
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If anyone works with #azure #DocumentIntelligence #FormRecognizer this seems like a trivial thing but how do I reproduce the "Results" tab from #DocumentIntelligenceStudio Attempting to dump/serialize (python/C#) the poller.results throws an exception about unserializable object