Unverified50% confidenceFactExact time
Prompt engineering is the foundational capability for subsequent RAG and workflow orchestration, because retrieval augmentation and multi-step processes ultimately must pass context and task requirements through prompts.
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Long-term
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10/26/2026
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UnverifiedApproaches 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.77% similarUnverified上下文工程涵盖提示词设计、RAG策略、对话历史压缩、工具结果格式化、长上下文管理等技术实践75% 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.75% similarVerifiedCoze's knowledge base feature technically corresponds to RAG (Retrieval-Augmented Generation) technology.74% similarVerifiedRetrieval-Augmented Generation (RAG) technology allows tools to first retrieve the most relevant code snippets and documentation from the local codebase and inject them into the prompt before calling a large model, in order to improve the accuracy and contextual consistency of generated code.74% similar
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