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What is marian?

mongodb/marian — explained in plain English

Analysis updated 2026-08-08 · repo last pushed 2024-03-15

19JavaScriptAudience · developerComplexity · 2/5DormantSetup · moderate

In one sentence

Marian is a lightweight search engine built for documentation sites. You point it at JSON files describing your docs, and it serves search results over a simple HTTP API on port 8080.

Mindmap

mindmap
  root((repo))
    What it does
      Searches documentation
      Returns matching pages
      Runs as web service
    How it works
      Reads JSON files into memory
      Listens on port 8080
      Three endpoints
    Inputs
      Local JSON files
      Amazon S3 bucket
      Document metadata
    Endpoints
      Search endpoint
      Status endpoint
      Refresh endpoint
    Use cases
      Docs site search
      API guide search
      Structured content search
    Tech stack
      JavaScript
      Node.js
      Amazon S3

Code map

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What do people build with it?

USE CASE 1

Add a search bar to your team's documentation website.

USE CASE 2

Let users search through developer-facing API guides and technical tutorials.

USE CASE 3

Run a dedicated documentation search service without relying on external search engines.

What is it built with?

JavaScriptNode.jsAmazon S3

How does it compare?

mongodb/marianaburousan/typsteditorborelchu/menhera-loop
Stars191919
LanguageJavaScriptJavaScriptJavaScript
Last pushed2024-03-15
MaintenanceDormant
Setup difficultymoderatemoderateeasy
Complexity2/53/52/5
Audiencedeveloperresearcherdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires JSON-formatted document files and Node.js 8+, may need Amazon S3 configuration if using cloud storage.

No license information is provided in the README, so usage rights are unclear.

So what is it?

Marian is a search engine built specifically for documentation. It runs as a web service that listens for search queries and returns matching results from a collection of documents you provide. MongoDB uses it to power the search bar on their documentation site, so when someone searches for a term like "aggregation pipeline," this is the tool finding and ranking the relevant pages. To get it running, you point it at a folder containing JSON files, either on your local machine or in Amazon's cloud storage (S3). Each JSON file describes a set of documents, including each document's title, a text snippet, a preview, and the URL where the full document lives. When the service starts up, it reads all these files into memory. From there, it sits on port 8080 waiting for someone to hit its search endpoint with a query. The service keeps things simple with three main endpoints. A search endpoint takes a query string and returns matching documents. A status endpoint reports whether the service is healthy. A refresh endpoint tells the service to rescan its source folder, which is useful when you have updated your documentation and want the search results to reflect the latest changes without having to restart the whole service. This project would be useful for teams that publish documentation and want a dedicated search experience for it, rather than relying on something like Google. A startup with a developer-facing API, for example, could use it to let users search through their technical guides. The document structure it expects, with headings, tags, and slugs, suggests it is tailored for structured content rather than random web pages. The README does not go into detail about the underlying search technology or how results are ranked. It does note that you can control how many background worker processes run using a simple environment variable, and it requires Node.js version 8 or later. Overall, it appears to be a straightforward, lightweight approach to documentation search rather than a heavy enterprise platform.

Copy-paste prompts

Prompt 1
Set up Marian to search my documentation. I have a folder of JSON files with title, text, preview, and URL fields. Write the command to start the service on port 8080 and show me an example search query.
Prompt 2
I store my documentation as JSON files in an Amazon S3 bucket. Configure Marian to read from S3 and serve search results, including the environment variables I need to set.
Prompt 3
I just updated my documentation JSON files. Write a curl command to hit Marian's refresh endpoint so the search results reflect the latest changes without restarting the service.
Prompt 4
Create a sample JSON file in the format Marian expects for a documentation page, including fields for title, text snippet, preview, and URL.

Frequently asked questions

What is marian?

Marian is a lightweight search engine built for documentation sites. You point it at JSON files describing your docs, and it serves search results over a simple HTTP API on port 8080.

What language is marian written in?

Mainly JavaScript. The stack also includes JavaScript, Node.js, Amazon S3.

Is marian actively maintained?

Dormant — no commits in 2+ years (last push 2024-03-15).

What license does marian use?

No license information is provided in the README, so usage rights are unclear.

How hard is marian to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is marian for?

Mainly developer.

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