Medusa
MeiliSearch
Medusa | MeiliSearch | |
---|---|---|
220 | 129 | |
23,110 | 43,577 | |
2.9% | 1.9% | |
9.9 | 9.8 | |
4 days ago | 3 days ago | |
TypeScript | Rust | |
MIT License | MIT License |
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.
Medusa
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How to build an eCommerce website and integrating Email notification only using open source tools
You can learn more about Medusa by checking their GitHub repository.
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MedusaJS: What we shipped in the past 12 weeks to our open-source commerce toolbox
Hello, I'm Nick, co-founder of Medusa. In keeping with our tradition, we are excited to share our progress on our open-source commerce SDK with this wonderful community. We eagerly want your feedback!
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How to Build an Electronic Commerce Store with Medusajs
If you have everything installed, follow these steps to set up your Medusa project.
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Mastering Cloud-Native E-commerce: A Deep Dive into Microtica and Medusa for Swift Deployment
As the world moves towards a more digital economy, e-commerce is becoming an increasingly important part of businesses. To keep up with the changing times, it’s essential to adopt a cloud-native approach to your e-commerce platform. In this blog, we will introduce you to two powerful tools that can help you achieve rapid deployment of your e-commerce website: Microtica and Medusa.js. We will take a deep dive into what cloud-native e-commerce is, how Microtica and Medusa.js work, and how they complement each other. We will also discuss case studies of successful deployment using these tools and what skills are required for implementing them. Lastly, we’ll talk about future trends in cloud-native e-commerce and how Microtica and Medusa.js shape the future of online shopping.
- Our Team's Favourite Open Source Projects Right Now
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Announcing Next.js Starter with App Router support
The Medusa Next.js Starter Template supports popular instant-search providers Melliseach and Algolia out of the box. With these integrations, you can provide fast and accurate search results.
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Serverless ecommerce with open-source modules [demo]
Co-founder of Medusa, here.
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Handle ecommerce product logic from a serverless Next.js function [demo]
Co-founder of Medusa here; building blocks for digital commerce.
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Open source Commerce SDK for Node.js developers
Hi - I'm Nick, co-founder of MedusaJS.
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Medusa Recap: What we shipped in the past 10 weeks to our Node.js commerce SDK
Nick, co-founder of Medusa, here. As per tradition now, we love to share the progress we make on our open-source commerce SDK with this amazing community. Always keen to hear your feedback!
MeiliSearch
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Publish/Subscribe with Sidekiq
We needed to introduce a new service for search. As we settled on using meilisearch, we needed a way to sync updates on our models with the records in meilisearch. We could've continued to use callbacks but we needed something better.
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The Mechanics of Silicon Valley Pump and Dump Schemes
Meilisearch
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What is Hybrid Search?
In this case, a good strategy is to use vector search only when the keyword/prefix search returns none or just a small number of results. A good candidate for this is MeiliSearch. It uses custom ranking rules to provide results as fast as the user can type.
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Create a ChatBot with VertexAI and LibreChat
With the VertexAI endpoint set up and tested, our next step is to work with LibreChat. LibreChat is an open-source ChatGPT clone that can integrate with various AI models, including the PaLM 2 models via the VertexAI API. It's built using React, MongoDB, and Meilisearch technologies.
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Pg_bm25: Elastic-Quality Full Text Search Inside Postgres
Meilisearch seems like it is the best open source option.
https://www.meilisearch.com/
- Looking for an easy installable search engine for a shared hosting account? Any ideas?
- Meilisearch: Build an intuitive search experience in a snap
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Vector storage is coming to Meilisearch to empower search through AI
Starting with v1.3, you can use Meilisearch as a vector store. Meilisearch allows you to store vector embeddings alongside your documents conveniently. You will need to create the vector embeddings using your third-party tool of choice (Hugging Face, OpenAI). As we published the first v1.3 release candidate, you can try out vector search today.
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[N] Open-source search engine Meilisearch launches vector search
I work at Meilisearch, an open-source search engine built in Rust. 🦀
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Creating search engine for your local network - Is it even possible?
https://www.meilisearch.com/ https://github.com/meilisearch
What are some alternatives?
vendure - A headless GraphQL commerce platform for the modern web
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
Saleor - Saleor Core: the high performance, composable, headless commerce API.
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Strapi - 🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript/TypeScript, fully customizable and developer-first.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
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.
Searx - Privacy-respecting metasearch engine
strapi-medusa-template
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Radarr - Movie organizer/manager for usenet and torrent users.
rust-postgres - Native PostgreSQL driver for the Rust programming language