Unverified80% confidenceOpinionTime unknown
低代码平台上的RAG功能通常被简化为'上传文档-自动索引-直接问答',开发者无法控制分块粒度、嵌入模型选择、检索Top-K参数、相似度阈值等关键参数
1
Sources
80%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
低代码Agent平台的免费陷阱:平台锁定风险与技术自主策略
bilibili朱老师AI课堂
Related Entities
Related Claims
UnverifiedQoder uses Retrieval-Augmented Generation (RAG) technology to create vector indexes of the codebase and dynamically retrieves the most relevant code snippets when users ask questions.69% similarUnverifiedTraditional RAG knowledge bases use a "retrieval at query time" pattern: user asks a question → retrieve relevant documents → input into a large language model to generate an answer.65% similarUnverified混合检索(向量检索+BM25关键词检索)和Self-RAG(模型自评估是否需要检索)是RAG的进阶技术方向65% similarUnverified传统RAG依赖基于BM25算法的关键词稀疏检索和基于FAISS、Chroma等向量数据库的稠密向量检索64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/26163API
curl https://kongchang.com/api/v1/knowledge/claims/26163MCP
get_claim(id=26163)