AiForecast/aiforecast

I appreciate you sharing this, but I need to be transparent: the README provided doesn't contain the technical depth needed to write an accurate summary beyond the GitHub description. The README only covers Next.js boilerplate setup (dev server, font optimization, deployment)—it doesn't explain: - How KAG (Knowledge-Augmented Generation) and RAG are actually implemented - The trading agent's architecture or decision-making logic - What data sources or APIs it integrates with - How the cryptocurrency market analysis works **I'd need:** - Architecture/system design documentation - Details on the KAG/RAG implementation (vector stores, LLM choices, knowledge bases) - Integration specifics (exchange APIs, data sources, model providers) - How the trading logic operates Could you share a more complete README, ARCHITECTURE.md, or technical documentation? That way I can write something specific and useful rather than gu

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