Unverified60% confidenceFactExact time
Perplexity 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 problem
2
Sources
60%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedChatGPT (especially in browsing mode) and Perplexity use real-time retrieval-augmented generation (RAG) technology, actively crawling web content as the basis for their answers.74% similarVerifiedCoze's knowledge base feature technically corresponds to RAG (Retrieval-Augmented Generation) technology.73% similarUnverifiedFor users whose primary needs are searching, looking up information, and getting answers with cited sources, Perplexity Pro is more suitable; for users focused on copywriting, summarization, conversational Q&A, and coding assistance, ChatGPT Go is more suitable.69% similarUnverifiedSkriptr采用检索增强生成（RAG）架构，在生成回答前先从用户提供的文档中检索相关段落作为上下文68% similarUnverifiedA typical approach to query rewriting is to design a dedicated prompt template that passes the last N rounds of conversation history together with the current user input to an LLM, instructing it to output a semantically complete, independently retrievable query statement.67% similar
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