How Cracking and Chunking Enhance Azure Chatbots

View profile for Dan M.

AI + Data = Business Outcomes

💡 Making Chatbots Smarter with “Cracking” and “Chunking” in Azure When you load your company’s documents into Azure AI Foundry to power a chatbot, two behind-the-scenes steps make all the difference: cracking and chunking. 🔹 Cracking = opening up files (like PDFs, Word docs, or slide decks) and pulling out the text so the AI can actually read them. 🔹 Chunking = breaking that text into smaller, bite-sized pieces so the chatbot can quickly find and use the exact passage that answers your question. ✅ Why this matters for business: Faster, more accurate answers for employees and customers Less risk of the chatbot “making things up” Scales across large knowledge bases and document libraries In short: cracking extracts your knowledge, chunking makes it usable. Together, they turn static files into a living knowledge base your AI assistant can tap into. 👉 Curious how this could work for your organization? Reach out — happy to share ideas and real-world examples. #AzureAI #Chatbots #GenerativeAI #KnowledgeManagement #CIO #DigitalTransformation #LifeSciences #EnterpriseAI #Pharma #MicrosoftAzure #Innovation

Werner Geissler

Member of the Board of The Goodyear Tire Company

2mo

This can be a game changer for improving operational efficiency and compliance with internal and external regulatory requirements.

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Riya Dubey

80% Reduced Admin Overhead | Optimized Resources | Cost Savings All within Notchup, powered by your AI Co-pilot

1mo

Dan, Great work!!

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