1 min read
Retrieval-Augmented Generation: Chunking Strategies for Better Results
The best chunking strategy depends on your document types. Technical documentation benefits from header-aware chunking. Conversational content works well…
Document Processing
17 articles
1 min read
Azure Document Intelligence Custom Models: Training for Specialized Documents
Azure offers three custom model approaches: template models for fixed layouts, neural models for varied layouts, and composed models that combine multiple…
1 min read
GPT-4o Vision for Document Intelligence: Building Smart OCR Pipelines
For multi-page documents, process pages in parallel and use a synthesis step to merge extracted data. GPT-4o handles cross-page references like "continued…
1 min read
Azure AI Search Index Projections: Chunking Documents at Index Time
Index projections let you chunk documents at index time — I used them to turn long manuals into searchable, LLM-friendly chunks. Here's a practical approach…
1 min read
Advanced Chunking Strategies for RAG: Beyond Fixed-Size Splits
In projects I've worked on, chunking decisions alone changed retrieval quality more than model choice ever did. This deep dive pulls together advanced…
1 min read
Document Chunking Strategies for RAG Systems
Comprehensive guide to document chunking strategies for optimal retrieval in RAG applications.
1 min read
Intelligent Document Processing Pipelines with AI
Intelligent document processing transforms unstructured documents into structured, actionable data. Combining OCR, layout analysis, and LLM understanding…
1 min read
Intelligent Document Processing with Azure Form Recognizer
Azure Form Recognizer transforms manual document processing into automated workflows. The combination of pre-built and custom models handles most document…
1 min read
SharePoint Syntex Document Processing: Practical Implementation
Our goal is to: 1. Automatically classify incoming documents as invoices 2. Extract key data (vendor, amount, date) 3. Route invoices through an approval…
1 min read
Microsoft Syntex: Content AI for the Enterprise
Syntex uses AI models to: Classify documents automatically Extract information from documents Apply metadata and retention policies Generate content…
1 min read
Document Processing with AI Builder: From PDFs to Structured Data
AI Builder document processing transforms manual data entry: Pre built models for common documents Custom models for specific formats Human in the loop for…
2 min read
Form Recognizer v3: Intelligent Document Processing at Scale
Form Recognizer v3 introduces: Unified API : Single endpoint for all document types Improved accuracy : Better handling of handwriting and poor quality…
1 min read
Blob Storage Indexing with Azure Cognitive Search
When indexing blobs, the indexer performs several operations: 1. Enumerate blobs Find blobs matching your criteria 2. Download content Retrieve blob data 3.…
1 min read
Intelligent Document Processing with Azure Form Recognizer
Form Recognizer is where I've seen the most immediate ROI from Cognitive Services in enterprise settings. Accounts payable teams manually keying invoice…
2 min read
Intelligent Document Processing with Azure Form Recognizer
An accounts payable team I worked with last quarter was processing 4,000 invoices a month by hand—open the PDF, retype line items into the ERP, repeat. The…
1 min read
Azure Cognitive Search Indexers for Document Processing
Most "search" tutorials I see stop at "create an index, push some JSON, query it." That's the easy 10%. The 90% that matters in real projects is the indexer…
2 min read
Extracting Data from Documents with Azure Form Recognizer
Every accounts payable team I've ever talked to has a person whose job is, in part, retyping data from PDF invoices into an ERP. It's exhausting work, the…