knowledge management

Practical Bash-first playbook for turning scattered enterprise docs into an AI-ready, queryable knowledge base on Linux: normalize Markdown/reStructuredText/TXT with Pandoc, build a FAISS embeddings index via SentenceTransformers, and answer questions with RAG using Ollama or APIs—complete with install guides (apt/dnf/zypper), scripts, Makefile targets, and governance (spell/link checks), plus real-world patterns, tuning tips, and pitfalls to avoid.

Turn a plain Git folder into a private, fast, AI-ready knowledge base on Linux: organize notes/snippets with simple conventions; search instantly with ripgrep+fzf; add local semantic search via FastEmbed+ChromaDB; and answer questions using RAG with a local LLM via Ollama—fully scriptable in Bash. Includes apt/dnf/zypper installs, a Python venv, an indexing script, an ask helper, and practical tips to cut context-switching.

Docs rot fast; this Bash-first guide shows how to automate writing, updating, and translating docs on Linux with an AI backend (remote API or local llama.cpp). You’ll build a portable ai_chat client and drop in workflows: draft README Quickstarts, generate release notes, turn support threads into FAQs, translate content, and lint structure—scriptable, reviewable, CI-friendly, with privacy, caching, and token-limit tips.

Stale infra docs ruin on-call; this Bash-first guide shows how to auto-generate living, versioned documentation by collecting JSON ground truth with standard Linux tools (ip, lshw, jq), converting to Markdown, enriching with AI (local via Ollama or cloud), rendering Graphviz diagrams, and wiring it into Git hooks/CI; includes scripts, Ansible fleet example, and security best practices.