Unverified50% confidenceFactExact time
Perplexity本质上是一个模型路由加检索增强生成（RAG）系统，通过API调用多家模型提供商的服务而非自研所有底层大模型
1
Sources
50%
Confidence
Long-term
Relevance
8/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe developer solved the problem of large models being unfamiliar with FoxTable syntax through a dual strategy of a knowledge base (RAG approach) combined with system prompts.70% similarUnverifiedFine-tuning is suitable for teaching a model a specific output style or domain tone, while RAG achieves immediate-update-ready results through an external knowledge base, and the two are often used in combination in engineering.68% similarUnverifiedPerplexity is not a foundation model, but rather a product that is fine-tuned on top of existing foundation models and specifically optimized for search scenarios.68% similarUnverified解决大模型知识边界问题的两大技术方向是持续微调（Fine-tuning）和RAG（检索增强生成），LangChain主要服务于RAG67% similarUnverifiedPerplexity's Best mode is a model routing mechanism that automatically selects the most suitable underlying model based on query complexity, type, and context.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/805050API
curl https://kongchang.com/api/v1/knowledge/claims/805050MCP
get_claim(id=805050)