Knowledge Management

From Epistemology to AI-Powered Personal Knowledge Bases

Read online: cloudstreet-dev.github.io/Knowledge-Management

Contents

Part I: Foundations of Knowledge

• What Is Knowledge?
• Epistemological Traditions
• Tacit and Explicit Knowledge
• Knowledge vs Information vs Data

Part II: Knowledge Management in Practice

• A Brief History of KM
• Organizational Knowledge Management
• Knowledge Capture and Codification
• Taxonomies, Ontologies, and Metadata
• Communities of Practice

Part III: The AI Transformation

• How AI Changes Knowledge Work
• Retrieval-Augmented Generation
• Embeddings and Semantic Search
• AI-Assisted Knowledge Synthesis
• The Death of the FAQ

Part IV: Build Your Own Knowledge Base

• Personal Knowledge Management
• Tools of the Trade
• Building an Offline Searchable Vault
• Local AI for Knowledge Retrieval
• Zettelkasten Meets Vector Search

Part V: Looking Forward

• Knowledge Governance and Ethics
• The Future of Knowing

Building

mdbook build      # Build to book/
mdbook serve      # Development server with live reload

Acknowledgments

Thanks to Georgiy Treyvus, CloudStreet Product Manager, for the idea for this book.

License

CC0 1.0 Universal