待验证50% 置信事实时间未知
The offline pipeline in traditional RAG consists of document loading, text chunking, vectorization, and storage stages.
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
相关事实
待验证A typical RAG pipeline includes document chunking, vector embedding, vector database storage and retrieval, and final answer generation.77% 相似待验证Traditional RAG architectures typically require chunking documents and storing them in vector databases like Pinecone or Weaviate, with document updates requiring re-triggering of embedding and indexing pipelines69% 相似待验证The online pipeline in traditional RAG consists of query rewriting, dual-path retrieval (BM25 + vector), context assembly, and answer generation.64% 相似待验证RAG完整链路包括离线阶段（文档解析→文本分块→Embedding向量化→写入向量数据库）和在线阶段（用户提问→查询向量化→向量检索→召回文档重排序→构建Prompt→LLM生成回答）62% 相似待验证RAG通过向量检索按需注入最相关的代码片段，可替代全量上下文传输以压缩Token开销60% 相似
引用此条事实
Stable URI
https://kongchang.com/claim/60506API
curl https://kongchang.com/api/v1/knowledge/claims/60506MCP
get_claim(id=60506)