Searchic Open Portal
/ THE PREDICTABILITY CRISIS — SOLVED Operational

Few-Millisecond Multi-Tenant Search. Zero Query Penalties.

Escape the per-keystroke pricing trap. One flat monthly rate covers unlimited searches, live autocomplete, and typo correction across all your tenants.

Get Started — Open Portal See Why Teams Migrate
Sub-5ms Search latency target
Flat Rate No per-keystroke billing
Isolated 0% cross-tenant data leak

Interactive Search Sandbox

Live
Exact Match Complete word lookup.
Autocomplete Every keystroke. Zero billing.
Typo Correction Smart spelling recovery.
Exact Match3.42ms
Autocomplete4.58ms
Typo Correction7.78ms
/ WHY MIGRATE Three gaps. Permanently closed.

Why teams leave incumbent search platforms.

GAP 01

Real-Time Cross-Catalog Joins

0 re-indexes
Before
One vendor status change triggers a full catalog re-index across thousands of products.
With Searchic
Cross-catalog joins happen at query time. Change one record — every query reflects it instantly.
Use Case
Food delivery platforms toggle a restaurant's hours and all its menu items disappear from search — instantly, with no rebuild.
GAP 02

Predictable Flat-Rate Billing

∞ searches included
Before
Every keystroke in live autocomplete is a billable operation. High engagement equals a massive, unpredictable bill.
With Searchic
One flat monthly rate. Unlimited searches. You scale when your catalog grows, not when your users engage.
Use Case
Content portals give millions of readers live autocomplete across years of archives — same flat monthly fee, no matter the volume.
GAP 03

Advanced Features on All Plans

Included
Before
Personalization, smart ranking, and semantic filters are locked behind $50,000/year enterprise contracts.
With Searchic
Click-based personalization, adaptive ranking, and co-item recommendations are on every self-service plan.
Use Case
Retailers surface results ranked by each shopper's click history. No enterprise contract. No integration work.
/ 01 — ZERO-OVERHEAD ISOLATION Unified multi-tenant architecture

Every tenant gets a sealed, hot index.

Each API key opens a fully isolated search environment with its own index, event log, and data snapshot. No customer data is ever accessible to another. Every write is confirmed to durable storage before acknowledgment — zero data loss even during unexpected restarts.

Acmeacme · isolated
Atlas Retailatlas · isolated
Harbor Homesharbor · isolated
Fintech Xfintech · isolated

Live Activity Log

Every operation confirmed before acknowledgment

Live
/ 02 — RELEVANCE PIPELINE Dynamic layered ranking

Tune relevance while the list reorders itself.

Blend title weight, description weight, popularity, pinned boosts, and custom score rules into a deterministic tie-break pipeline.

Ranking Controls

Score
Title weight68
Description weight38
Popularity sorting54

Dual Storage Architecture

Enterprise

Fully cached index for instant lookup under any concurrent load.

Memory footprint7.8 GB
Lookup speed99%
Cost efficiency52%
/ 03 — GRAVITY STORAGE Per-tenant memory gravity

Choose performance grade per tenant.

Premium tenants run on fully cached, sub-millisecond indexes. High-volume tenants run on cost-optimized disk indexes. Same API. Zero migration friction.

Enterprise High-Performance
Fully cached index. Sub-millisecond lookup. Ideal for latency-sensitive production catalogs at any scale.
Eco Cost-Optimized
Disk-backed index with a minimal server footprint. Serve millions of documents at a fraction of the infrastructure cost.
/ 04 — DYNAMIC CLASSIFICATION Dynamic faceting

Filters that explain the result set instantly.

Click city and category facets to watch counts, price buckets, and tenant-scoped results update live.

Search results

6 docs
/ 05 — CAPACITY PLANNING B2B capacity planning tool

JSON Memory Footprint Estimator.

Paste a representative document, set your catalog size, and get an instant memory projection and plan recommendation.

Your Catalog

Flat-Rate
Raw RAM45.1 MB
+25% Buffer56.4 MB
PlanFree

vs. Usage-Based Pricing

Algolia-style
Search Ops ~$0.50 per 1,000 requests
Per query
Keystroke Overage Every autocomplete keypress is billable
Exponential
Searchic One flat infrastructure tier. Unlimited searches.
Flat rate
/ 06 — DATA ISOLATION & DURABILITY Data boundaries

Isolation and durability you can inspect.

Tenant-scoped access, separate search state, write-ahead logs, and resource controls are built into the service. Assess formal compliance requirements against your own deployment and policies.

Tenant-scoped access

Every request is checked against an API key, and scoped keys can limit access to supported operations.

Per-tenant indexes

Each tenant has an isolated search environment, index state, event data, and persisted snapshot paths.

Write-ahead persistence

Index writes are recorded through durable WAL and snapshot workflows to support recovery after restart.

Configurable resource limits

Rate limits, request-size limits, and tenant memory limits help keep workloads bounded.

/ 08 — DEVELOPER QUICKSTART Three API calls to production

Integrate in the time it takes to read this.

One POST to provision a tenant. One POST to index a document. One GET to search it. Every operation returns in under 5ms.

POST /admin/create-tenant
X-Admin-Key: sk_adm_••••••••••••••
Content-Type: application/json

{
  "tenant_id": "acme_corp",
  "storage_class": "enterprise",
  "schema_weights": {
    "title": 10, "description": 4
  }
}

→ 201 Created · 2.3ms
{ "api_key": "sk_acme_a1b2c3d4e5f6..." }
/ 09 — LATENCY DIAGNOSTICS Benchmark diagnostics

Measured latency from the latest benchmark run.

Live benchmark data comparing Searchic Enterprise, Searchic Eco, and a leading open-source alternative at 100-way concurrency.

100-way concurrent load · 1,000 requests per scenario · lower P50/P95/P99 is better · higher RPS is better.

/ IMPLEMENTATION NOTES Capabilities to validate in your deployment

Build search quality from observable behavior.

Define a stable schema before importing documents: a durable ID, a clear name, searchable fields, and filterable attributes. This makes relevance tuning and safe updates predictable as the catalog grows.

01
Document modeling Start with clean, complete source data

Use tenant-specific API keys and validate every request. Keep search state and persistence paths isolated so each customer’s search configuration and data remain independently manageable.

02
Tenant isolation Verify the boundary with integration tests

Measure searches against representative documents and queries. Track latency, zero-result searches, result clicks, and relevance changes; publish benchmark methodology with any performance claim.

03
Evidence-based tuning Use real workload data, not marketing numbers
Get in touch

Contact our team.

Talk to the people behind Searchic about technical questions, partnerships, and getting started.

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