Unverified50% confidenceCautionExact time
超大规模全文搜索、极高吞吐实时流处理、超低延迟缓存、真正的水平扩展写入等场景下 Postgres 不够用，需专用方案
1
Sources
50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Postgres Is Enough More Often Than You Think: Stop Piling On Your Tech Stack
redditr/programming7/9/2026
Related Claims
Unverified使用开源skill压缩上下文、规范提问流程等方法能在一定程度上收紧上下文，但不能真正省下大量Token67% similarUnverified应默认用 Postgres 解决问题，只有遇到具体可测量的瓶颈时才引入新组件，用数据而非直觉决策67% similarUnverifiedIn document chunking strategies, chunks that are too long reduce retrieval precision, while chunks that are too short result in loss of context.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/482763API
curl https://kongchang.com/api/v1/knowledge/claims/482763MCP
get_claim(id=482763)