feat: implement knowledge management system (spec complete, all 53 tasks done)

.kiro/steering/bahn-context.md

@@ -0,0 +1,35 @@
+---
+inclusion: fileMatch
+fileMatchPattern: "bahn/**"
+---
+
+# Bahn-Kontext
+
+When working on any file under `bahn/`, always consider the **Wissensdatenbank** (`bahn/wissensdatenbank/`) as relevant context.
+
+## Wissensdatenbank (ETL-Pipeline für LLM/RAG)
+
+Location: `bahn/wissensdatenbank/`
+Remote: `https://git.tech.rz.db.de/einfachbahn-lab/tools/wissensdatenbank_group/wissensdatenbank.git`
+
+This is the central knowledge base ETL pipeline for DB InfraGO 1st-level support and chatbots. Key points:
+
+- **Purpose:** Collects knowledge from Confluence, web pages, PDFs, GitLab repos → processes into Markdown → serves as Single Source of Truth for vector DBs/chatbots
+- **Architecture:** ETL pipeline with strategies (confluence_page, confluence_tree, crawler, sitemap, gitlab_md, file, pdf)
+- **Output:** `data/processed/<scope>/<domain>/` (intern, extern, allgemein)
+- **Config:** `config/tools.yaml`, `config/general.yaml`, `config/filter_rules.json`
+- **Key files:** `src/` (pipeline code), `config/` (tool/source definitions), `data/` (processed output)
+
+## When to reference it
+
+- Any bahn project that involves knowledge, documentation, or AI/chatbot integration
+- When discussing scope classification (intern/extern/allgemein)
+- When building MCP servers or tools that consume DB knowledge
+- When working on O2C-Harness, aisupport, or Confluence_Bot (they feed into or consume from the Wissensdatenbank)
+
+## Sync
+
+```powershell
+git subtree pull --prefix=bahn/wissensdatenbank wissensdatenbank main --squash
+git subtree push --prefix=bahn/wissensdatenbank wissensdatenbank main
+```