Search And Filtering Blueprint

Full-text search with faceted filters, sorting, relevance scoring, fuzzy matching, and saved searches

   
Feature search-and-filtering
Category Data
Version 1.0.0
Tags search, filtering, full-text, facets, sorting, relevance, fuzzy-matching
YAML Source View on GitHub
JSON API search-and-filtering.json

Fields

Name Type Required Label Description
query text No Search Query Validations: maxLength
filters json No Filter Array  
filter_field text Yes Filter Field Name  
filter_operator select Yes Filter Operator  
filter_value json No Filter Value  
sort_by text No Sort Field  
sort_order select No Sort Order  
page number No Page Number Validations: min
page_size number No Page Size Validations: min, max
saved_search_name text No Saved Search Name Validations: maxLength
total_results number No Total Result Count  
relevance_score number No Relevance Score  

Rules

  • search_index:
    • configurable_fields: true
    • index_type: inverted_index
    • analyzer: standard
  • query:
    • max_length: 500
    • min_length: 1
    • sanitize_input: true
  • fuzzy_matching:
    • enabled: true
    • default_tolerance: 2
    • min_query_length_for_fuzzy: 3
  • filters:
    • max_filters: 20
    • operators: eq, neq, gt, gte, lt, lte, in, not_in, between, contains, not_contains, exists, not_exists
    • validate_field_names: true
  • sorting:
    • default_sort: relevance
    • allowed_sort_fields_configurable: true
  • saved_searches:
    • max_per_user: 50
    • stores: query, filters, sort_by, sort_order
  • rate_limiting:
    • max_requests_per_minute: 60

Outcomes

Results_found (Priority: 1)

Given:

  • a search request is submitted with valid parameters
  • matching records exist in the index

Then:

  • set_field target: total_results — Set total count of matching records
  • emit_event event: search.executed

Result: Paginated results returned with relevance scores, total count, and facet counts

No_results (Priority: 2)

Given:

  • a search request is submitted with valid parameters
  • no records match the query and filters

Then:

  • emit_event event: search.executed

Result: Empty result set returned with suggestions (spelling corrections, relaxed filters)

Search_saved (Priority: 3) — Error: SAVED_SEARCH_LIMIT_REACHED

Given:

  • user submits a saved search request with a name
  • user is authenticated
  • saved search count is below the per-user limit

Then:

  • create_record target: saved_search — Persist query, filters, sort configuration under the given name
  • emit_event event: search.saved

Result: Search configuration saved for future reuse

Search_error (Priority: 10) — Error: SEARCH_QUERY_INVALID

Given:

  • the search request contains invalid parameters
  • filter references a non-existent field or uses an unsupported operator

Result: Error returned describing which parameters are invalid

Search_timeout (Priority: 11) — Error: SEARCH_TIMEOUT

Given:

  • search execution exceeds the configured timeout threshold

Result: Timeout error returned; client may retry with narrower filters

Errors

Code Status Message Retry
SEARCH_QUERY_INVALID 400 Search query or filter parameters are invalid No
SEARCH_TIMEOUT 503 Search request timed out; try narrowing your query No
SEARCH_RATE_LIMITED 429 Too many search requests; please try again shortly No
SAVED_SEARCH_LIMIT_REACHED 400 Maximum number of saved searches reached No

Events

Event Description Payload
search.executed A search query was executed (regardless of result count) query, filters, sort_by, result_count, response_time_ms
search.saved A search configuration was saved by a user saved_search_id, user_id, search_name
Feature Relationship Reason
pagination required Search results must be paginated for performance and usability
caching recommended Frequently executed searches benefit from result caching
audit-trail optional Search activity can be recorded for analytics and compliance

AGI Readiness

Goals

Reliable Search And Filtering

Full-text search with faceted filters, sorting, relevance scoring, fuzzy matching, and saved searches

Success Metrics:

Metric Target Measurement
data_accuracy 100% Records matching source of truth
duplicate_rate 0% Duplicate records detected post-creation

Constraints:

  • performance (non-negotiable): Data consistency must be maintained across concurrent operations

Autonomy

Level: supervised

Escalation Triggers:

  • error_rate > 5

Tradeoffs

Prefer Over Reason
data_integrity performance data consistency must be maintained across all operations

Coordination

Protocol: request_response

Consumes:

Capability From Fallback
pagination pagination degrade

Safety

Action Permission Cooldown Max Auto
results_found autonomous - -
no_results autonomous - -
search_saved autonomous - -
search_error autonomous - -
search_timeout autonomous - -