TL;DR: A Knowledge Base in ByteChef is a managed RAG store: drop in documents (PDF, Markdown, Word, JSON, plain text - and scanned PDFs or images, through an OCR path) and ByteChef parses, chunks (with size and overlap you pick per knowledge base), embeds , and indexes them in a pgvector -backed Spring AI VectorStore . Retrieval is everywhere you'd want it: a Knowledge Base Search tool for AI Agents (with tag filtering), Load/Search/Update/Delete actions for workflows, and a built-...