Unverified50% confidenceSolutionExact time
The Agent retrieves relevant fields from a built-in Schema via RAG (Retrieval-Augmented Generation), and only Schemas with a similarity score greater than 0.7 are passed to the model as context.
1
Sources
50%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedRetrieval-Augmented Generation (RAG) architecture retrieves relevant structured data from an external knowledge base before the model generates a response, injecting it as context to produce more accurate answers.65% similarUnverifiedModels can still experience stitching-type hallucinations when integrating multiple retrieved results, so RAG is not the ultimate solution for eliminating hallucinations.61% 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.61% similarVerified检索增强生成（RAG）通过基于真实知识库内容回答来解决大模型的幻觉问题60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/935183API
curl https://kongchang.com/api/v1/knowledge/claims/935183MCP
get_claim(id=935183)