Why is my Meilisearch filter returning zero results?

Filters return no results if the attribute is not configured in the index's 'filterableAttributes'. You must set this configuration before performing filtered searches.

Is it safe to use .waitTask() in a production API?

No. Using .waitTask() in production request handlers blocks the event loop while polling the server. Use it only in scripts, seeds, or testing environments.

How do I implement search for multiple users securely?

The skill provides patterns for multi-tenancy using tenant tokens, which allow you to create scoped search rules so users only access their own documents.

Does this skill support geo-spatial search functionality?

Yes, it includes patterns for implementing geo-aware search using _geoRadius, _geoBoundingBox, and sorting results by geographic distance.

How should I handle primary keys in Meilisearch?

While Meilisearch can auto-infer primary keys, it is best practice to set them explicitly during index creation or the first document add to prevent indexing failures.

Meilisearch Search Patterns

Name: Meilisearch Search Patterns
Author: agents-inc

byagents-inc

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Gestión de Bases de Datos

Implements high-performance full-text search using Meilisearch patterns for indexing, filtering, and multi-tenant search.

This skill provides a comprehensive set of implementation patterns for Meilisearch v1.x, enabling developers to build fast, typo-tolerant search experiences. It covers critical aspects of the Meilisearch lifecycle, including asynchronous document indexing, configuration of filterable and sortable attributes, geo-spatial search, and secure multi-tenant access control using tenant tokens. By following these established patterns, developers can avoid common pitfalls like blocking the event loop with task polling or attempting to filter on unindexed attributes, ensuring a robust and scalable search architecture.

Características Principales

01Multi-search and federated search capabilities across multiple indexes

02Geo-search implementation with radius and bounding box support

03Advanced search configuration for filtering, sorting, and faceted navigation

04Secure multi-tenancy patterns using scoped API keys and tenant tokens

055 GitHub stars

06Asynchronous document indexing and background task management patterns

Casos de Uso

01Developing secure SaaS applications where multiple tenants share an index but see only their own data

02Building a typo-tolerant e-commerce product search with faceted navigation and price filtering

03Implementing location-based services using geo-aware search and distance-based sorting

Características Principales

01Multi-search and federated search capabilities across multiple indexes

02Geo-search implementation with radius and bounding box support

03Advanced search configuration for filtering, sorting, and faceted navigation

04Secure multi-tenancy patterns using scoped API keys and tenant tokens

055 GitHub stars

06Asynchronous document indexing and background task management patterns

Casos de Uso

01Developing secure SaaS applications where multiple tenants share an index but see only their own data

02Building a typo-tolerant e-commerce product search with faceted navigation and price filtering

03Implementing location-based services using geo-aware search and distance-based sorting