Unverified50% confidenceFactExact time
Multi-hop question answering is a typical class of task in information retrieval and natural language processing, requiring the system to perform chain reasoning across multiple documents or paragraphs to arrive at an answer.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe complete flow of this workflow is: natural language input → location parsing → data search → conditional filtering → structured storage.72% similarUnverified用户提问时问题被转换为向量,通过余弦相似度算法找到语义最相近的文档片段,这是语义检索优于传统关键词检索的根本原因71% similarVerifiedThe core of semantic search is vector embedding technology, which converts code snippets and natural language queries into high-dimensional vectors and calculates semantic distance using methods such as cosine similarity.70% similarUnverifiedFew-shot examples are "user question—ideal answer" pairs embedded in the prompt to demonstrate the expected answer style, format, and reasoning pattern, achieving in-context learning without fine-tuning.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1114548API
curl https://kongchang.com/api/v1/knowledge/claims/1114548MCP
get_claim(id=1114548)