I’m building a search admin console for connectors and relevance tuning

Great use case. A search admin console for connectors + relevance tuning usually needs to cover a few core areas:

1) Connector management

For each connector, admins typically need to:

• Create / configure / disable connectors
• View status: healthy, syncing, failed, paused
• Trigger manual syncs
• Inspect last sync time, documents indexed, errors
• Manage credentials / auth
• Set scope: which sites, drives, repos, databases, etc. are indexed
• Handle incremental vs full sync
• See content freshness / lag

Common connector types:

• Google Drive / SharePoint / OneDrive
• Slack / Teams
• Confluence / Jira
• GitHub / GitLab
• Salesforce / Zendesk
• File shares / S3 / databases

2) Relevance tuning

Admins usually want controls like:

• Field boosting: title, body, tags, authors, etc.
• Recency boost
• Popularity / click-through boost
• Pinned results / rules
• Synonym management
• Query-time rewrite / expansions
• Stop words / stemming / language
• Result filtering / facets
• Per-collection ranking profiles
• A/B testing / compare ranking versions

A good pattern is to separate:

• Global defaults
• Per connector
• Per content source
• Per query class / vertical
• Per user group / role

3) Operational views

Helpful dashboards:

• Index health
• Sync backlog
• Error rates
• Failed items
• Latency
• Query volume
• Zero-result queries
• Top refinements / filters
• Click-through rate
• Recent tuning changes

4) Suggested IA / navigation

A practical left-nav structure:

• Overview
• Connectors
  • All connectors
  • Add connector
  • Sync jobs
  • Failures
• Index
  • Collections / corpora
  • Schema / mappings
  • Content types
• Relevance
  • Ranking rules
  • Boosts
  • Synonyms
  • Pins / overrides
  • Query analytics
• Analytics
  • Search usage
  • Zero results
  • Clicks / conversions
• Settings
  • Auth / permissions
  • API keys
  • Environments
  • Audit log

5) Key UX ideas

• Make status obvious with color + timestamps + counts
• Use dry-run / preview before applying relevance changes
• Show what changed in ranking rules
• Support rollback
• Add test search box with live explanations:
  • “Why did this result rank higher?”
• Provide connector-specific validation
• Keep audit history for every admin action

6) Important data model concepts

You’ll likely need entities like:

• Connector
• ConnectorInstance
• SyncJob
• Document
• Index
• FieldMapping
• RankingProfile
• BoostRule
• SynonymSet
• PinnedResult
• AuditEvent
• SearchQueryLog
• SearchResultClick

7) If you’re designing the console

A solid first version would include:

1. Connector list + health indicators
2. Sync job history + error details
3. Search test box
4. Ranking profile editor
5. Synonym manager
6. Query analytics
7. Audit log

If you want, I can help with any of these next:

• a product requirements doc
• dashboard wireframe / screen list
• data model / database schema
• API design
• ranking rule model
• frontend component structure