Unverified50% confidenceOpinionExact time
Through native support for streaming tables and materialized views, enterprises can build intelligent search and RAG applications directly on real-time data pipelines without having to trade off between data freshness and search performance.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/26/2026
First Seen
Valid until: 1/24/2027
Sources
Related Entities
Related Claims
UnverifiedRAG technology allows models to retrieve external knowledge bases in real time without permanently uploading private data for training.78% similarUnverifiedRAG (Retrieval-Augmented Generation) technology typically handles only unstructured documents and remains inadequate for scenarios requiring real-time database queries or API calls.71% similarVerifiedRAG（检索增强生成）技术架构将文档切片、向量化、存入向量数据库，查询时先检索相关片段再交给模型生成回答71% similarVerifiedRAG treats an external document library as a dynamic knowledge source that can be retrieved in real time, constituting non-parametric knowledge that can be added, deleted, or modified at any time.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1100811API
curl https://kongchang.com/api/v1/knowledge/claims/1100811MCP
get_claim(id=1100811)