Elasticsearch Search, Built for Your Data

From product search to document indexing, our AI-managed teams build fast, relevant search experiences with Elasticsearch and milestone-based delivery.

Technology: Elasticsearch (Search Engine)

Elasticsearch is the industry-standard distributed search and analytics engine. Our teams integrate Elasticsearch to deliver fast full-text search, faceted navigation, autocomplete, log analytics, and complex aggregations. We deploy Elasticsearch as managed clusters (Elastic Cloud, AWS OpenSearch) with proper index design, mapping optimization, and relevance tuning.

What We Build

  • Full-Text Search Systems: Lightning-fast search across products, content, documents, and user-generated data with typo tolerance, synonyms, and relevance ranking.
  • Faceted Navigation & Filtering: E-commerce-style filtering with faceted counts, range sliders, and real-time result updates as filters are applied.
  • Autocomplete & Suggestions: Type-ahead search with instant suggestions, search-as-you-type, and "did you mean" corrections for better user experience.

Expertise

  • Elasticsearch Deployments: 40+
  • Largest Index Managed: 100M+ documents
  • Average Search Latency: Under 50ms
  • Deployment Options: Elastic Cloud, AWS OpenSearch, self-hosted

Sample Projects

  • E-Commerce Product Search: Full-text product search with faceted filtering, autocomplete, and personalized ranking for a marketplace with 2M+ products. (200 hours)
    • Fuzzy matching with typo tolerance
    • Faceted filters with real-time counts
    • Search-as-you-type autocomplete
    • Personalized result boosting based on user behavior
  • Document Search Platform: Enterprise document search system indexing PDFs, Word docs, and emails with full-text search, metadata filtering, and access control. (250 hours)
    • PDF and document content extraction with Tika
    • Metadata-based filtering and facets
    • Highlighting of matched terms in results
    • Role-based search results with document-level security

Frequently Asked Questions

When do I need Elasticsearch vs database search?
Use Elasticsearch when you need full-text search with relevance ranking, faceted navigation, autocomplete, fuzzy matching, or search across millions of records. Simple keyword filtering on a few thousand records works fine with PostgreSQL full-text search.
Do you use Elasticsearch or OpenSearch?
We use both. Elasticsearch via Elastic Cloud for the latest features, and AWS OpenSearch when clients want to stay within the AWS ecosystem. The APIs are largely compatible, so switching between them is straightforward.
How do you keep Elasticsearch in sync with my database?
We use change data capture (CDC) patterns, database triggers, or application-level events to keep Elasticsearch indexes in sync with your primary database. The approach depends on your consistency requirements and architecture.
Can Elasticsearch handle analytics too?
Yes. Elasticsearch excels at aggregation queries — histograms, averages, percentiles, and multi-dimensional analytics. We use it for log analytics, metrics dashboards, and business intelligence alongside its search capabilities.