meilisearch-js
Strapi
meilisearch-js | Strapi | |
---|---|---|
15 | 458 | |
685 | 60,244 | |
3.1% | 1.2% | |
8.6 | 10.0 | |
12 days ago | 3 days ago | |
TypeScript | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
meilisearch-js
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Show HN: Podcastsaver.com – a search engine testbench dressed as a podcast site
Thanks! I removed the URLs and now the searchable attributes are only title, description and some author fields!
> Just a detail, if you're making a `du -sh` on your computer, the size on the disk will stay unchanged because we are doing soft deletion ;). Don't worry. It will be physically deleted after a while if you need it in the future.
Ah I was just wildy undershooting the size I gave the PVC! I just gave it much more and it's fine -- right now it's resting around 19Gi of usage, which is actually a bit of a problem considering the data set was only like 4GB or something like that originally. That said, disk is really not an issue so I'll just throw more at it, maybe leave it at 32GB and call it a day (it's around 1.6MM documents out of ~2MM), so shouldn't be too much more.
> If you kept the default configuration of Meilisearch, the maximum size of the HTTP payload is 100Mb (for security). You change it here -> https://docs.meilisearch.com/learn/configuration/instance_op...
Thanks for this, I'll keep this in mind -- so I could actually pass off HUGE chunks to Meilisearch.
It seems like the larger the chunk the more efficient? There didn't seem to be much of a change in how much time it took to work through a chunk of documents, more just that having lots of smaller chunks would go slower. I started off with 10k in a batch, then went to 1k then back to 5k, maybe I should go to 100k docs in a batch and see the performance.
There's a blog post waiting to be written in here...
> addDocumentsInBatches() is just an helper to send your big json array into multiple parts, not absolutely sure you'll need it. (Code -> https://github.com/meilisearch/meilisearch-js/blob/807a6d827...)
Thanks! Was this something someone requested? Is there a tangible benefit (were there some customers that didn't want to split up the payloads themselves)? Because it seems like unnecessary cruft in the API otherwise.
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Which one of these gems are still usable in rails 6/7? and which ones have a good alternative?
sunspot: looks active, but I would question the idea of using Solr as your search engine. Have you considered https://www.meilisearch.com it a bit like Algolia but open source.
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What do you use for e-commerce search?
You could use Meilisearch: https://www.meilisearch.com/
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Official /r/rust "Who's Hiring" thread for job-seekers and job-offerers [Rust 1.61]
COMPANY: Meilisearch, here is our website and Github repository.
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What are your Most Used Self Hosted Applications?
Meilisearch - Provides search for the main BookStack static site/docs/blog.
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8 Open Source Projects for Your Ecommerce Stack
Meilisearch is an open source search engine that adds highly performant search engines to any website or app, including ecommerce stores.
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Review: Saleor vs Medusa Two Opensource Headless Ecommerce Platforms
Medusa allows you to integrate any search engine of your choice into the platform. It already integrates with search systems like Meilisearch or Algolia to provide an intuitive search experience for the customers.
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metasearch engine using rails
I would return a question to you. How much of a database do you need? Wouldn't it be more efficient to implement something like Elastic or https://www.meilisearch.com to index your metadata and quickly return to the users?
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Build Your Own E-Commerce Keystone.js-Based System — Requirements and Architecture
Not so long ago I was working on a system based on Keystone.js CMS. But there it was used much more sophisticated way than just as basic headless CMS. I was easily able to extend it with search engine (Rust-based Meilisearch) and connect to external APIs.
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OpenSearch – open-source search and analytics based on Apache 2.0 Elasticsearch
Only semi-related, but I've recently started using https://www.meilisearch.com/. It's relatively limited, but works great for small use cases. It's also pretty easy to operate. I'm hoping as it continues to grow it will support more features and use cases. I don't think the creators intend to address the same depth of complex features in ElasticSearch (and the like), but that's a desirable attribute in my opinion.
Strapi
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How to Build an AI FAQ System with Strapi, LangChain & OpenAI
Strapi provides a centralized data managing platform. This makes it easier to organize, update, and maintain the FAQ data. It also automatically generates a RESTful API for accessing the content stored in its database.
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Ask HN: Best OSS SQL Query Builder in Any Language
https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed.
They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental understanding of the data model and SQL
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Headless CMS: Directus vs Payload vs Strapi in 2024
As of April 2024, Strapi's GitHub repository has garnered 59.7k stars and 7.5k forks, showcasing its widespread adoption. The project has also secured a substantial $45+ million in funding, cementing its position as a prominent player in the headless CMS space.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
const pages = await client.GET("/pages", { params: { query: { filters: { // @ts-ignore - openapi generated from strapi results in Record // https://github.com/strapi/strapi/issues/19644 path: { $eq: path, }, }, // @ts-ignore populate: { blocks: { populate: "*" }, }, }, }, });
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Forgot password flow with Strapi and NextAuth
On a side note. Where do all these endpoints come from? Strapi is open source. We can read the source code. All these endpoint come from the Users and permissions plugin. So, if we go to Strapi on github and browse around the files a bit eventually you will find the auth.js file that contains all of the routes. You can also find the Strapi controllers in there if you're interested.
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The Mechanics of Silicon Valley Pump and Dump Schemes
Strapi
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Open-Source Headless CMS in 2024
Strapi: The Code Anarchist
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Integrate Strapi on Nuxt
Strapi - Open source Node.js Headless CMS 🚀
- Posthog is closing their Slack community in favor of forum
- Setup containerized Application in AWS ECS - Part 3/3
What are some alternatives?
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
Appwrite - Your backend, minus the hassle.
Vue Storefront - Alokai is a Frontend as a Service solution that simplifies composable commerce. It connects all the technologies needed to build and deploy fast & scalable ecommerce frontends. It guides merchants to deliver exceptional customer experiences quickly and easily.
KeystoneJS - The most powerful headless CMS for Node.js — built with GraphQL and React
Saleor - Saleor Core: the high performance, composable, headless commerce API.
AdminJS - AdminJS is an admin panel for apps written in node.js
google-api-nodejs-client - Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.
Ghost - Independent technology for modern publishing, memberships, subscriptions and newsletters.
svix-webhooks - The enterprise-ready webhooks service 🦀
ApostropheCMS - A full-featured, open-source content management framework built with Node.js that empowers organizations by combining in-context editing and headless architecture in a full-stack JS environment.
Nextcloud - ☁️ Nextcloud server, a safe home for all your data