Colab Notebooks
Interactive Python tutorials on Google Colab for building Wardley Mapping AI systems.
Table of contents
Building Wardley Mapping Body of Knowledge
A comprehensive series of notebooks for creating an AI-powered knowledge base from Wardley Mapping content.
Part 1: YouTube Video Collection
Collect and download audio from Wardley Mapping YouTube videos for processing.
Part 2: Main Processing
Process collected audio files and prepare them for transcription.
Part 2b: Speech to Text
Transcribe audio using Whisper models to create text transcripts.
Part 3: Vector Embeddings
Create vector embeddings from transcripts and store in Pinecone.
Part 4: Query Interface
Build a query interface to search the knowledge base using natural language.
Part 5: Wardley Mapping Book Integration
Integrate Simon Wardley’s book content into the knowledge base.
Part 8: Research 2022 Maps
Add Wardley Mapping research and maps from 2022 to the knowledge base.
Podcast Processing Series
Process and index podcast content for the knowledge base.
Part 12: Collect Podcasts
Download podcast episodes from various sources.
Part 13: Podcast Speech to Text
Transcribe podcast audio using Distil-Whisper.
Part 14: Upsert Podcast Data
Create embeddings from podcast transcripts and store in vector database.
Part 15: Query Podcast Data
Search and query the podcast knowledge base.
Advanced Topics
Part 16: Pinecone Serverless
Migrate to Pinecone Serverless for improved performance and cost efficiency.
Part 17: Website Extraction
Extract and process Wardley Mapping content from websites.
Custom Tools for Agents
Build custom LangChain tools for OpenAI function calling with Wardley Mapping operations.