An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal

IWE is an open-source, Rust-based personal knowledge manager that treats markdown notes as a navigable knowledge graph.

It is provided as a CLI and LSP tool designed for use inside local editors.

The article walks through key IWE operations: fuzzy search (find), context-aware retrieval (retrieve), hierarchy view (tree), document consolidation (squash), stats, and DOT graph export for visualization.

OpenAI is integrated to run AI transforms on the graph, including summarization, link suggestion, and todo extraction.

An agentic RAG pipeline is constructed where an AI agent uses function-calling tools to traverse the graph and perform multi-hop reasoning; the tutorial includes code snippets for installing OpenAI and graphviz Python packages and configuring an OpenAI API key.