medusa
qdrant
medusa | qdrant | |
---|---|---|
3 | 142 | |
7 | 18,219 | |
- | 4.8% | |
4.6 | 9.9 | |
about 1 year ago | 1 day ago | |
TypeScript | Rust | |
- | Apache License 2.0 |
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 much RAM for 20+ Drupal sites?
You wrote get a 20G medium hosting package from platform.sh, did you mean 2G?
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Ask HN: Who is hiring? (September 2023)
Platform.sh | REMOTE | Full-Time | https://platform.sh
Platform.sh is a unified, secure, enterprise-grade platform for building, running and scaling fleets of websites and applications.
We serve thousands of customers worldwide including The United Nations, The Financial Times, Adobe Commerce/Magento, Shopware, Orange, University of Missouri and The British Council.
We are among the momentum leaders in Cloud PaaS according to G2 https://www.g2.com/categories/cloud-platform-as-a-service-pa...
Recently, we have finished $140 million series D funding.
Here's how it works (get a free trial and go crazy):
Pick a template from https://github.com/platformsh-templates and customize it (add your assets, specify infra) as per https://docs.platform.sh/overview/structure.html
Then push to your Platform.sh repo, BOOM! magic happens and you have a working site that you can branch, test, customize, go-live. Dead simple, you don't need Kubernetes, just basic git knowledge.
Tech stack is LXC with some Python awesomeness, Puppet, Ceph and GlusterFS. Tooling is in Python and Go. Yep, we are multi-cloud (AWS, Azure, GCP, ...).
What I love:
• Great work-life balance (remote only company, you can work on a contract, but you also get PTO incl. your national holidays, parental leave)
• Lots of smart people from around the world
• Work on interesting stuff
• Company shares (discretionary)
• Good comp package, pick your HW, get reimbursed for trainings and other stuff
Join us https://platform.sh/company/careers/
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Community Highlights: Svelte Storefront, Medusa Flutter Admin, and lots of new plugins
Vinnie Russo built a Platform.sh template designed to ease the deployment process for a Medusa ecommerce solution. The template includes the essential Medusa backend infrastructure, the admin dashboard, and the Next.js storefront.
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
I'm currently looking to implement locally, using QDrant [1] for instance.
I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].
[1]. https://qdrant.tech/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
sveltekit-medusa-starter - Starter project to help you create your Medusa-powered ecommerce application
Milvus - A cloud-native vector database, storage for next generation AI applications
Medusa-Admin-Flutter - MedusaJs Store Manager for iOS and Android
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
tiny-dream - Tiny Dream - An embedded, Header Only, Stable Diffusion C++ implementation
faiss - A library for efficient similarity search and clustering of dense vectors.
SvelteKit - web development, streamlined
pgvector - Open-source vector similarity search for Postgres
pixlab - PixLab Resources & Code Samples
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
TileDB-Vector-Search - Cloud-native vector similarity search and storage with efficient, serverless scale-out
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.