Validate Vector Index Refreshes
Refreshing an index can change what agents see. ProofMap helps teams prove the refresh improves answers instead of introducing new failures.
Get StartedWhy Choose ProofMap
Compare old and new indexes
Run the same objective tests against the current and refreshed retrieval setup.
Catch stale or missing context
Detect when important records disappear, duplicate, or rank poorly after refresh.
Release index changes safely
Approve retrieval changes with evidence before production traffic shifts.
Comparison
| Workflow | Without ProofMap | With ProofMap |
|---|---|---|
| Evaluate AI behavior | Teams rely on demos, logs, and manual spot checks. | Run objective-bound evaluations against prompts, models, MCP tools, and runtime mappings. |
| Handle change | Prompt, model, context, schema, memory, or vendor changes create hidden regressions. | Compare candidates to baselines and promote only qualified packages. |
| Support developers | Developers trace failures across tools, providers, data, and one-off scripts. | Failures become repeatable tests with clear evidence and recommended fixes. |
| Control production risk | Fallbacks, permissions, and degraded modes are invented when pressure hits. | Approved mappings and fallback paths are ready before launch, incidents, or migration deadlines. |
Frequently Asked Questions
When should vector indexes be validated?
Before major content refreshes, embedding migrations, chunking changes, corpus expansions, or customer-specific index updates.
What can go wrong after an index refresh?
Relevant context can move, stale context can remain, ranking can change, and prompts can react differently to new passages.
How does this save developer time?
It makes evaluation, debugging, approval, and regression testing repeatable instead of forcing developers to rebuild evidence for every AI change.
What does ProofMap produce?
ProofMap produces objective-bound evaluations, failure evidence, recommendations, and approved prompt or runtime mappings for production use.