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Schranz Search Logo with a Seal on it with a magnifying glass

Schranz Search

Monorepository for SEAL a Search Engine Abstraction Layer with support to different search engines
Documentation | Packages

Elasticsearch | Opensearch | Meilisearch | Algolia | Loupe | Solr | Redisearch | Typesense
PHP | Symfony | Laravel | Spiral | Mezzio | Yii



👋 Introduction

The SEAL project is a PHP library designed to simplify the process of interacting with different search engines. It provides a straightforward interface that enables users to communicate with various search engines, including:

It also provides integration packages for the

Symfony, Laravel, Spiral, Mezzio and Yii PHP frameworks.

It is worth noting that the project draws inspiration from the Doctrine and Flysystem projects. These two projects have been a great inspiration in the development of SEAL, as they provide excellent examples of how to create consistent and user-friendly APIs for complex systems.

Note: This project is heavily under development and any feedback is greatly appreciated.

🏗️ Structure

SEAL Structure overview

SEAL's provides a basic abstraction layer for add, remove and search and filters for documents. The main class and service handling this is called Engine, which is responsible for all this things. The Schema which is required defines the different Indexes and their Fields.

The project provides different Adapters which the Engine uses to communicate with the different Search Engine software and services. This way it is easy to switch between different search engine software and services.

Glossary

Term Definition
Engine The main class and service responsible to provide the basic interface for add, remove and search and filters for documents.
Schema Defines the different Indexes and their Fields, for every field a specific type need to be defined and what you want todo with them via flags like searchable, filterable and sortable.
Adapter Provides the communication between the Engine and the Search Engine software and services.
Documents A structure of data that you want to index need to follow the structure of the fields of the index schema.
Search Engine Search Engine software or service where the data will actually be stored currently Meilisearch, Opensearch, Elasticsearch, Algolia, Redisearch, Solr and Typesense is supported.

📖 Installation and Documentation

The documentation is available at https://schranz-search.github.io/schranz-search/. It is the recommended and best way to start using the library, it will step-by-step guide you through all the features of the library.

📦 Packages

Full list of packages provided by the SEAL project:

Have also a look at the following tags:

🦑 Similar Projects

Following projects in the past target similar problem:

📩 Authors

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THIS IS A DEV FORK DONT USE IT FOR YOUR PROJECT USE: https://github.com/schranz-search/schranz-search

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