Unverified50% confidenceFactExact time
The core mechanism of Structured Streaming is incremental queries: processing only newly arrived data each time rather than recomputing the full history.
1
Sources
50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen vector retrieval recalls information, the system converts the current question into a vector, looks up in the database the several historical records with the closest distance, and injects them into the prompt.68% similarUnverified语义缓存通过计算新查询与历史查询的向量相似度,当超过阈值时直接返回缓存答案,GPTCache等工具实现了该机制67% similarUnverifiedRe-running a saved query recomputes against the current data source, whereas retrieving a completed task yields the result captured during that run; if the data source has changed, the two results may differ.65% similarUnverifiedWhen an agent performs a multi-step research task, the search records, intermediate conclusions, and reasoning chains produced at each step continuously occupy the context window; once it approaches the limit, earlier information may be truncated or forgotten.65% similarUnverifiedSemantic retrieval (vector search over stored knowledge) and state recovery (loading a checkpointed workflow) solve different problems; vector search can surface relevant context, but should never be the sole mechanism for restoring the exact state of an in-progress task.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1091233API
curl https://kongchang.com/api/v1/knowledge/claims/1091233MCP
get_claim(id=1091233)