Unified map ties LLM knowledge stack together

The angle is strong because it reframes the current “RAG vs. long context vs. agents” debate as a systems problem, not a feature checklist.

• –The positioning is timely: the guide argues RAG is still relevant, but only as one layer in a broader knowledge-runtime stack.
• –The best part is the connective tissue across topics that are usually documented in silos, especially skills, memory, and harness design.
• –The Chinese ecosystem section is a useful differentiator because most English-language roundups still under-cover tools like Dify, RAGFlow, DeepSeek, and Kimi.
• –The launch reads more like a research-heavy reference asset than a product demo, so its audience is builders, tinkerers, and technical writers rather than casual users.
• –I could not find a Product Hunt listing or badge for the repo, so the PH field should stay `NONE`.