cosine similarity

Learn how embedding models turn fuzzy shell queries into precise, meaning-based results on Linux. This guide explains embeddings, installs deps, and ships Python scripts using sentence-transformers + FAISS to index docs, logs, and history for fast local semantic search. Includes model and chunking tips, cosine normalization, curl API option, troubleshooting, and next steps like incremental updates and RAG.