Interactive learning application powered by OpenAI’s ChatGPT for teaching Wardley Mapping fundamentals. Features conversational Q&A, concept explanations, and guided exercises using RAG with embedded Wardley Mapping knowledge base.
learnwardleymapping_gpt - Learn with OpenAI Assistant
Conversational interface for querying Simon Wardley’s book using FAISS vector similarity search. Ask questions about specific chapters, concepts, or patterns and receive contextual answers with page references and relevant quotes from the source material.
Interactive chat application for exploring Simon Wardley’s research maps from 2022 onwards. Enables semantic search across research documentation, analysis of emerging patterns, and discussion of strategic insights from recent mapping work.
Unified chat interface combining both book content and video transcripts into a single searchable knowledge base. Provides comprehensive answers drawing from multiple sources, with citations indicating whether information comes from written or video content.
wardley_chat_with_map - Chat with a Wardley Map
Status
Done
Date
2024-05-08
Upload and analyse your own Wardley Maps through conversational AI. Uses Pinecone vector database for semantic understanding of map components, enabling questions about component positioning, evolution, dependencies, and strategic implications.
Universal format converter for Wardley Maps. Transforms Open Wardley Map (OWM) syntax into multiple output formats including JSON, TOML, GraphML, Cypher (for Neo4j), and SVG. Essential utility for integrating maps into different tools and workflows.
Interactive demonstration of the wardleymap Python package capabilities. Allows users to experiment with map parsing, visualisation options, and format conversion features through a web interface without needing to install the package locally.