Add search in your Gatsby project using Meilisearch

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • MeiliSearch

    A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

    Meilisearch is an open-source search engine that works out-of-the-box.

  • meilisearch-gatsby-plugin-guide

    This guide will go through all the steps for adding the content of your Gatsby app to Meilisearch. ( https://github.com/shivaylamba/meilisearch-gatsby-plugin-guide.git) We will use the content of NikitaJS Documentation, an open-source documentation site built with Gatsby, for this guide. We will then make this content searchable using Meilisearch. Nikita is a toolkit that gathers a set of functions commonly used during system deployment. It is built for Node.js. We chose this project as it doesn’t have search functionality for its documentation.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • node-nikita

    Automation and deployment solution with Node.js

    git clone https://github.com/adaltas/node-nikita.git

  • gatsby-plugin-meilisearch

    A plugin to index your Gatsby content to Meilisearch based on graphQL queries

    We hope this article was a pleasant introduction to the new Meilisearch plugin for Gatsby.

  • docs-searchbar.js

    Front-end search bar for documentation with Meilisearch

    For this example, we will use the Meilisearch docs-searchbar.js. It is a front-end SDK for Meilisearch that provides an easy integration of a search bar into the documentation site. The content indexed earlier in the Meilisearch instance will be referenced.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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