Kubto Search
Semantic and hybrid retrieval, ranking controls, filters, analytics, and integration patterns for product or knowledge discovery.
Products
Product building blocks for search, knowledge, and automation
Kubto product capabilities can provide a starting layer for discovery, recommendations, assisted answers, analytics, and crawler access, with fit and deployment confirmed for each environment.
Who this is for
Product and technology teams evaluating whether a configurable product, a product-plus-integration engagement, or a custom build is the right route.
Problem to solve
A feature list alone does not establish fit. Buyers need to understand data requirements, integration work, control surfaces, deployment boundaries, and operational ownership.
Scope
Product capability areas
Availability, packaging, interfaces, deployment model, limits, and support terms are confirmed in the current proposal or order form before purchase.
Recommendation Engine
Similar items, alternatives, bundles, cross-sells, business rules, placement controls, and measurement hooks.
AI Assistant
Retrieval-grounded assistance for product, support, or internal knowledge workflows with citations and escalation design.
Knowledge Base
Ingestion, indexing, metadata, retrieval, access-aware design, and evaluation foundations for RAG applications.
Kubto Render
Crawler-ready HTML delivery and diagnostics for selected JavaScript routes, subject to framework and deployment compatibility.
Analytics and evaluation
Events, query and answer review, quality test sets, operational dashboards, and improvement workflows appropriate to the product.
Architecture
How product capability reaches production
- 01
Data connection
Map catalog, content, behavior, policy, or operational sources; define ownership, freshness, permissions, and deletion.
- 02
Control layer
Configure retrieval, ranking, business rules, prompts, guardrails, access policy, and fallbacks for the use case.
- 03
Serving and integration
Connect the approved capability to storefronts, applications, APIs, support tools, or internal interfaces.
- 04
Evaluation and operations
Measure quality, latency, usage, cost, failures, and business signals; maintain a reviewed improvement backlog.
Deliverables
What the engagement can produce
✓
Fit assessment
A documented match between the use case, required capability, data, integration points, boundaries, and product availability.
✓
Integration design
Interfaces, events, data synchronization, identity, access, failure behavior, rollout, and rollback decisions.
✓
Configured implementation
The agreed product capability and integration validated against an environment-specific acceptance plan.
✓
Operating plan
Monitoring, support ownership, content or catalog updates, evaluation cadence, limits, and change process.
Boundaries
Boundaries and decisions to verify
Good work is easier to trust when the team knows what is included, what still needs proof, and who owns each decision.
Maturity and availability are verified
These are configurable product foundations, not a claim of universal availability. Current maturity, packaging, deployment, interfaces, licensing, support, and roadmap are confirmed during evaluation.
Models and data sources affect behavior
Output quality, coverage, latency, and cost depend on source quality, selected providers, configuration, traffic, and infrastructure.
Targets are engagement-specific
No conversion, accuracy, performance, uptime, or cost outcome is promised by this page.
Determine product fit before committing to integration
Bring the use case, platform, data sources, traffic shape, security constraints, and operating model to a product-fit review.
Plan a product-fit review