Unverified50% confidenceOpinionExact time
For developers who particularly care about character settings, using the most basic RAG as an external knowledge base is the recommended approach.
1
Sources
50%
Confidence
Long-term
Relevance
11/6/2026
First Seen
Sources
QQ Bot Burning Through Tokens Too Fast? Engineering Layering and Cost-Saving Tips
bilibili本少-淡定版10/25/2026
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Unverified入门开发者应从基础调用示例入手，有经验的开发者可直接查阅RAG或Tool Use等高级范例79% similarUnverifiedApproaches to solving context loss typically include: retrieval-augmented generation (RAG) to dynamically pull relevant fragments from the codebase, building a code knowledge graph, or adopting an agent architecture capable of planning tasks autonomously.74% similarUnverifiedIn RAG and Agent systems, prompts not only carry the user's question but also need to embed retrieved context, tool-calling formats and historical dialogue, and the quality of prompt engineering directly affects system performance.74% similarUnverifiedThe advanced section covers prompt engineering, tool calling and plugin extension, RAG knowledge bases, workflow orchestration, and multi-agent collaboration.73% similarVerifiedCoze's knowledge base feature technically corresponds to RAG (Retrieval-Augmented Generation) technology.73% similar
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