Our Services

Fully managed search powered by OpenSearch — built to fix the three things that break most search stacks: slow indexing, painful migrations, and downtime under load. Ingest up to 180,000 documents per second, migrate in days instead of quarters, and run on a 99.9%+ uptime SLA — with hybrid semantic retrieval, customizable workflows, and recommendations as a seamless add-on when you're ready.

Reindex in minutes — 180K docs/sec Migrate in days, not quarters 99.9%+ uptime, peak-tested

Managed Search

Complete solution — fast, scalable, fully customizable

High-performance managed search with 180,000 documents per second indexing and complete processing workflows — including custom filters, facets, hybrid lexical/vector retrieval, and enrichment from related indexes.

  • Complete workflows with custom filters, facets, sorting, and enrichment modules from related indexes
  • Hybrid semantic search with embeddings, vector retrieval, and reranking on higher tiers
  • Blazing-fast ingestion — up to 180,000 documents/second
  • Easy configuration & production-ready defaults with guided onboarding
  • Relevance tuning, capacity planning, migration support, and defined SLAs
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Recommendation Engine

Separate engine for recommendations and downstream personalization

Turnkey recommendations that integrate seamlessly with your search. Start in minutes — scale effortlessly as traffic grows.

  • Multiple models: similar items, trending, personalized
  • Simple, clean REST API — POST /api/recommend
  • Batch or real-time streaming ingestion
  • Secure multi-tenant architecture with easy integration
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Three Pain Points We Make Go Away

Slow indexing, long migrations, and unreliable search aren't quirks of your current platform — they're the reason your team can't ship the next feature. Here's exactly how Index Engine fixes each.

Slow indexing

Catalog updates that take hours. Promotions and price changes that lag the source of truth. Reindexes that run all night and still aren't done.

Our fix

Up to 180,000 documents/sec sustained ingestion with bulk pipelines, parallel shards, and tuned mappings. A 50M-doc catalog re-indexes in minutes; partial updates land on the site in near real time.

Migration that drags on

6–9 month replatform projects. Parallel stacks. Frozen feature roadmaps. A nervous launch weekend that nobody on the team wants to own.

Our fix

Connectors for Solr, Elasticsearch, Algolia, Bloomreach, and SQL/CSV sources. Side-by-side relevance comparison before cutover. Most teams move a brand to production in 1–3 weeks with zero downtime — no replatform required.

Search that breaks

Timeouts during flash sales. Autocomplete returning 500s. On-call rotations dreading holiday traffic. Lost queries become lost orders — and lost trust.

Our fix

Auto-scaling clusters, multi-AZ failover, query-level circuit breakers, and 24/7 monitoring with paid SLAs. 99.9%+ uptime — engineered for Black Friday, not just demo day.

Who Thrives with Index Engine

  • E-commerce teams — higher conversion & AOV
  • Marketplaces — faster, smarter inventory discovery
  • Content platforms — deeper engagement & retention
  • SaaS products — intelligent discovery features

Why Teams Choose Index Engine

  • No more slow indexing — 180K docs/sec sustained, full catalog reindex in minutes
  • No more multi-quarter migrations — connectors for Solr, Elastic, Algolia & Bloomreach; live in 1–3 weeks
  • No more broken search — 99.9%+ uptime, multi-AZ failover, peak-tested for Black Friday
  • Full control — custom pipelines, filters, facets, enrichment, and merchandising rules
  • Modern relevance — hybrid lexical + vector retrieval and reranking, no bolt-on apps
  • Real support — direct line to search engineers, not tier-1 bots

Frequently Asked Questions

Most teams launch basic search in under an hour. Migrating off Solr, Elasticsearch, Algolia, or Bloomreach typically takes 1–3 weeks end-to-end — including connector setup, side-by-side relevance comparison, and a zero-downtime cutover. No replatform required, no parallel-stack quarter-long project. We provide a written timeline and risk plan after your inquiry.

Sustained ingestion is up to 180,000 documents per second. A 50M-document catalog re-indexes from scratch in minutes, and partial updates (price, stock, promotions) propagate to the search index in near real time — so your site stops lagging the source of truth. Pipelines also support enrichment from related indexes (product attributes, inventory, user signals) without slowing ingestion.

Index Engine runs on auto-scaling, multi-AZ OpenSearch clusters with query-level circuit breakers, 24/7 monitoring, and paid 99.9%+ uptime SLAs on production tiers. We load-test for Black Friday and similar peaks before peak season, and search engineers are on-call alongside your team. If search has been the thing that breaks at the worst possible moment, this is the part of the platform we engineer around.

Managed Search is priced by committed documents, QPS, and storage (Starter → Enterprise tiers). Hybrid semantic search and reranking are included in higher plans or enterprise packages. Recommendation Engine remains usage-based and separate.

All plans include email support (24-hour response). Higher tiers add priority Slack, dedicated engineers, and 24/7 operational monitoring with SLAs. Managed Search customers get hands-on help with relevance tuning, migration, and scaling.

Ready to Replace Slow, Painful, Unreliable Search?

Reindex at 180K docs/sec. Migrate off your current platform in 1–3 weeks. Stay up under peak load with a 99.9%+ uptime SLA. Scale confidently — without rebuilding your stack.

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