Querylight TS Demo

What Querylight TS Can Do Beyond Full-Text Search

Querylight TS can power more than lexical retrieval, including faceting, aggregations, semantic retrieval, geo filtering, and lightweight dashboards.

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Reference Entry

What Querylight TS Can Do Beyond Full-Text Search

Overview · foundation · order 62

Querylight TS can power more than lexical retrieval, including faceting, aggregations, semantic retrieval, geo filtering, and lightweight dashboards.

Relevant APIs

DocumentIndex NumericFieldIndex DateFieldIndex GeoFieldIndex VectorFieldIndex termsAggregation histogram dateHistogram

Tags

overview search analytics facets geo vector dashboard

What Querylight TS Can Do Beyond Full-Text Search

Querylight TS supports more than ranked text retrieval. The same local index can also drive filters, facets, aggregations, vector retrieval, geo queries, and browser-side dashboards.

The library already supports several capability layers:

  • lexical retrieval
  • faceted filtering
  • numeric and date aggregations
  • significant terms
  • vector search and rescoring
  • geo indexing and geo queries
  • serialized index state for build-time shipping

The dashboard demo shows the same pattern applied to browser-side analytics over local JSON records.

Search is still the center

The search use case is still real and important:

  • docs search
  • static site search
  • app help centers
  • small embedded retrieval tasks

But once your documents include structured fields, the same indexes can support more than ranked text matching.

Examples of "beyond search" behavior

Faceted discovery

Build sidebars and active filters from:

  • termsAggregation(...)
  • rangeAggregation(...)
  • histogram(...)
  • dateHistogram(...)

Lightweight local dashboards

Use:

  • TermQuery
  • TermsQuery
  • RangeQuery
  • numeric/date field stats and buckets

to derive chart-ready subsets from raw records.

Semantic retrieval

Use:

  • VectorFieldIndex
  • semantic embeddings
  • reranking or nearest-neighbor search

for question answering or related-content experiences.

Geo-aware filtering

Use:

  • GeoFieldIndex
  • GeoPointQuery
  • GeoPolygonQuery

for location-based slices and map-adjacent interfaces.

Why this matters

For small browser and local-first systems, this can remove an early split into:

  • one library for search
  • one library for analytics
  • one library for geo
  • one extra backend just to make the UI interactive

Querylight TS does not replace every specialized system. It does let one local index cover more than ranked hits.