Lineate AI Domain-Native Search | Enterprise Search with RAG

Lineate AI Domain-Native Search is an enterprise-grade search framework designed for organizations with complex, heterogeneous data environments. It delivers intuitive, high-performance site search with Natural Language Processing, enhanced type-ahead suggestions, typo-tolerance, smart filters, and custom ranking--enabling personalized, relevant search experiences that drive measurable lifts in conversion rates and brand loyalty.

The solution combines traditional high-speed indexing with modern Generative AI (RAG pipelines) to provide two distinct discovery modes:

Precision Search

Sub-second keyword and attribute-based filtering across millions of records with custom relevancy tuning, including geographic sorting and availability rules.

Conversational Discovery

An AI assistant that answers natural language questions grounded exclusively in your private catalog, delivering age-appropriate or role-specific responses while eliminating hallucinations by using your documents as the sole source of truth.

Our solution is "domain-native," meaning it understands the specific vocabulary, relationships, and schemas of your industry rather than applying generic search logic.

Built on a cloud-native, serverless-first architecture for scalability and low maintenance overhead:

• Amazon OpenSearch for full-text and vector indexing
• AWS Lambda for aggregating, normalizing, and validating heterogeneous live data sources
• Amazon Bedrock for RAG and prompt engineering, keeping data within your VPC
• AWS Glue and Amazon S3 for ETL pipelines that normalize fragmented data from multiple sources
• Amazon CloudFront for global low-latency delivery
• AWS KMS and IAM for enterprise-grade encryption and access control

• Aggregated dozens of distributor APIs in real time for a major industrial parts marketplace, serving millions of electronic component searches with 99.9% uptime and sub-second latency across product catalog, pricing, and inventory data.
• Implemented an AI-powered assistant for a nationwide educational content platform, providing age-segmented, grounded responses with a 99% SLA success rate.
• Replaced legacy search for a premier medical center, managing a directory of 5,300+ doctors across 350+ locations with zero production defect escapes and greater than 99.99% uptime over seven years. The result: a 12% improvement in time-on-site metrics and a 26% increase in overall booked appointments.
• Integrated third-party demand sources for a major digital advertising platform with 200ms or less P95 incremental serving latency, achieving 20% or greater coverage lift and 40% or greater incremental revenue.

• SaaS/Managed: Hosted and managed by Lineate in a dedicated AWS account.
• Private Cloud: Deployed via Terraform IaC directly into your AWS VPC for total data sovereignty.

1. Discovery and Architecture Design - Technical assessment of data sources, volume requirements, application stack, compliance needs, and business goals. Deliverable: architecture design document and project roadmap.
2. Build and Deploy - Iterative delivery sprints building infrastructure, data pipelines, search engine, and comprehensive UI tailored to your business rules, along with operating dashboards.
3. Validation and Handoff - Results quality validation, user acceptance testing, operational runbooks, and team training. Ongoing managed service options are available with agreed-upon SLAs.