Ep65: RAG Filtering + Context Graphs with Neo4j

This week has been a whirlwind. From starting a new RAG project to getting involved in other community events, there is so much to learn and do. This week had the following highlights: 🎤 Glasgow Meetup Adventures Navigating venue challenges, DJ booth speaking setups, and live coding without a mic stand—lessons in developer advocacy resilience. 🔍 RAG Experimentation Working with Quarkus to ingest unstructured data into Neo4j. Exploring filtering strategies and data model alignment for better retrieval. 💡 Live Interaction Tracer Combining naive RAG with a graph-based interaction tracer—early progress on a promising approach. 🧠 Context Graphs Deep Dive Why context graphs matter for AI: documenting the "how" and "why" behind data decisions, not just snapshots in time. Perfect for providing business logic and tacit knowledge to AI systems. Resources Hands-on with Context Graphs and Neo4j by William Lyon William Lyon's podcast episode (previous month) Context Graphs demo application Lots of 2026 projects kicking off—stay tuned for updates on RAG experiments, context graph implementations, and upcoming events!