Data Source Connectors

Understanding Your Data Requirements

To create an effective search experience, Atri AI Search analyzes different types of fields in your data and lets you configure these fields to optimize both keyword and semantic search capabilities. The system allows for configuring your data into distinct field types, each serving a specific purpose.

Configuring how your data maps to these field types is crucial for optimizing search performance. Each field type serves a distinct purpose in the search ecosystem, working together to provide users with both comprehensive discoverability and precise filtering capabilities.

Searchable Fields

These text fields contain the primary content users will search through, forming the foundation of your search experience. When users enter queries, the system primarily examines these fields to identify relevant matches.

Examples: title, description, content, product_name, category

Embedding Fields

Fields used for semantic AI search to understand context and meaning beyond simple keyword matching. These fields undergo vector embedding processing, enabling the system to grasp conceptual relationships and contextual nuances.

Examples: description, content, tags, category, product_details

Filterable Fields

Numeric and categorical fields that enable users to narrow down results with precision. These fields support range queries, exact matches, and categorical filtering, allowing users to refine their search results based on specific criteria.

Examples: price, rating, date, status, availability, brand

Faceting Fields

Fields that create navigational categories for browsing and filtering, providing users with an intuitive way to explore content through logical groupings. These fields generate the faceted navigation elements that help users discover content they might not have specifically searched for.

Examples: category, brand, collection, type, location

Salient Features

Atri AI Search is designed to make data integration seamless and intelligent, with features that reduce manual effort while maximizing search effectiveness.

Automatic Field Detection

Our intelligent system automatically identifies and categorizes fields in your data, distinguishing between text content suitable for search, numeric fields for filtering, and categorical data for faceting. This automation significantly reduces setup time while ensuring optimal field configuration based on data patterns and content types.

Intuitive Configuration

The configuration process features a simple, user-friendly interface that guides you through setup with clear recommendations and smart defaults. Even complex data structures become manageable through our step-by-step approach, which anticipates common configuration needs and provides contextual guidance throughout the process.

Auto-Refresh Support

Select data sources support automatic synchronization, ensuring your search results stay current with real-time updates from your connected systems without manual intervention. This capability is particularly valuable for dynamic content like product catalogs, inventory systems, and frequently updated databases.

Available Data Source Connectors

Choose from our growing library of pre-built connectors to seamlessly integrate your data sources with Atri AI Search.