Jev 101
Start Guides
Search
中文 EN

use cases semantic-line-find

Retrieval ✦ 70outlineNot a production recipe — calibrate thresholds

Line-by-line semantic find

Who: Docs search. Steps: Choice over line ids + Noul answer-exists → abstain if none. Expected effect: Avoid least-bad passage when answer absent.

Source: https://docs.typesafe.ai/cookbooks/semantic_find ↗ Docs / source ↗
1

Treat this as an outline — adapt state and questions to your data.

2

Implement in code — call System One / Jev; compose answers yourself.

3

Gate on confidence — act, confirm, or escalate before side effects.

Outline sketch

Prompt 
# Line-by-line semantic find
State: relevant software state for this pattern.
Ask: Choice / Score / Noul questions that close the decision space.
Then: compose the route or action in code; escalate when confidence is low.

Needs access to: typesafe-sdk

Who it's for

Docs search

Steps / how it's set up

Steps

  1. Choice over line ids + Noul answer-exists.
  2. abstain if none.
  3. Compose the decision in application code and calibrate thresholds on your data.

Sources

Metrics and demo claims are author-reported or cookbook-reported unless you measure them yourself. Calibrate on your data.

Expected effect

Avoid least-bad passage when answer absent

Unofficial outline for learning. Paraphrased from public docs and tutorials — not a production recipe. Review sources before you automate anything.