Build knowledge agents without embeddings

What this post added

Introduces a file-system-based approach for knowledge agents, leveraging Vercel Sandbox, bash commands (`grep`, `find`, `cat`), and AI SDK tools instead of traditional vector databases and embedding models. This method aims for deterministic, explainable, and faster results, with improved debugging by inspecting actual files. It also highlights the integration of Chat SDK for multi-platform deployment and the AI SDK's `savoir` tools for connecting agents to this file-system-based knowledge base. The post also details built-in admin tools and an AI-powered admin agent for debugging.