AI 智能体
vector-search
更新于 2026-07-22
Vector Search 工程规则
Vector search rules: chunking strategy, recall evaluation and index rebuild path
- 技术栈
- Vector Search
- 主题
- 工程基线
- 条目
- 9 条
- 版本
- v0.2.0
✓ 应当这么做
- ✓ Version datasets and pipelines together so a model and its inputs are traceable
- ✓ Validate schema and null-rate drift on every ingestion run
- ✓ Write idempotent transformations that can be re-run safely
✕ 常见反模式
- ✕ Silent schema drift between source and warehouse
- ✕ Pipelines that mutate the raw layer in place
- ✕ Dashboards built directly on non-validated raw tables
◎ 交付前验证
- ◎ Row counts and key uniqueness compared against the previous run
- ◎ Backfill path tested on a partition
- ◎ Lineage graph updated for the new source
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Skill design rules: narrow triggers, explicit boundaries and verifiable outputs
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Tool-call rules: server-side authorisation and deny-by-default allow-lists
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Memory rules: scoped retrieval, expiry and user-visible deletion
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RAG rules: citation-grade retrieval and evaluated recall before shipping
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LLM Evaluation 工程规则
Eval rules: versioned prompt datasets and regression gates in CI