Verified65% confidenceFactExact time
Coze's knowledge base feature technically corresponds to RAG (Retrieval-Augmented Generation) technology.
3
Sources
65%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Coze Beginner's Guide: A Complete Guide to Building AI Agents Without Code
bilibiliAI大模型学习圈7/5/2026
Related Claims
VerifiedRetrieval-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.75% similarUnverifiedThe advanced section covers prompt engineering, tool calling and plugin extension, RAG knowledge bases, workflow orchestration, and multi-agent collaboration.74% similarUnverifiedPerplexity uses Retrieval-Augmented Generation (RAG) technology, crawling web pages in real time when a user asks a question and injecting relevant passages into the LLM prompt to address the knowledge cutoff problem73% similarUnverifiedThe Know layer injects policies, constraints, and business rules into the agent through system prompts or RAG, but does not enforce restrictions.73% similarUnverifiedCommon guardrail implementations include input filtering, system prompt constraints, output moderation, and retrieval-augmented generation (RAG).72% similar
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