Java (Spring) + Postgres + Elasticsearch: Product Catalog Search & Faceted Filtering
E-commerce product search with faceted filtering (price, brand, size, attributes) — distinct from both other Search recipes: Meilisearch-as-a-Service is general-purpose, eDiscovery is legal/compliance-focused, this is specifically catalog search with facets.
Loads this recipe straight into the wizard — every setting stays editable before you generate anything.
The stack
Install
# pulls this exact recipe straight from the Vault $ npx stacktora install java-product-catalog-faceted-search --remote $ stacktora sync # generate the files
What you get
More from the Vault
Java (Spring) + Postgres + Elasticsearch: Enterprise eDiscovery Search
Litigation-hold-aware document search for legal/compliance teams — distinct from the Meilisearch-based Search-as-a-Service recipe: this targets enterprise eDiscovery requirements (audit trail on searches, hold status), not general product search.
PHP + Postgres + Elasticsearch: Public Job Board & Resume Search
Searchable public job postings for job-seekers — distinct from the Applicant Tracking baseline: that's internal hiring-pipeline management for one company, this is a public-facing job board serving many employers and candidates.
Rust + Redis: Autocomplete & Typeahead Suggestion Backend
Fast prefix-matching suggestions served from Redis — distinct from the full Search-as-a-Service recipe: this is specifically the narrow, latency-critical typeahead-suggestions problem, not full-text search with ranking and filters.
Search-as-a-Service Starter
Meilisearch in front of Postgres-stored records — real instant search (typo tolerance, ranking, filters) instead of a slow ILIKE query bolted onto the main database as an afterthought.