MeiliSearch
engine
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MeiliSearch | engine | |
---|---|---|
129 | 87 | |
43,043 | 2,025 | |
2.7% | 0.0% | |
9.8 | -17.8 | |
5 days ago | 10 months ago | |
Rust | Rust | |
MIT License | GNU General Public License v3.0 only |
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
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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.
- 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
engine
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The 2024 Web Hosting Report
Qovery: Qovery simplifies the deployment process for Kubernetes by letting you declare your project's structure and dependencies, making it an excellent choice for startups looking to focus on development without worrying about infrastructure.
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Kubernetes for Developers
Enter Qovery - an Internal Developer Platform that can be installed on any Kubernetes cluster to bring a delightful and simplified developer experience. But don't take my word for granted. In this quick step-by-step article, I will show you how to deploy one of my GitHub apps and a Postgres database on my Kubernetes cluster running on GCP. And what's really really cool is that I don't even need to understand how Kubernetes work!
- Terraform Self-Service platform / Internal Developer Platform solutions
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Top 8 Tools to Build Your Own PaaS
Qovery is a comprehensive PaaS tool that offers a range of features to simplify the deployment and management of applications. With Qovery, you can easily deploy your applications in various cloud environments, eliminating the complexities of infrastructure setup. Its intuitive and developer-friendly interface, Git integration, and automatic scaling capabilities make it a powerful choice for building a custom PaaS. Qovery's seamless integration with popular frameworks and databases further enhances its appeal.
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Tool to deploy docker images from github repos?
Qovery https://www.qovery.com
- GitHub - Qovery/engine: The Platform to Create Production-like Environments at the Speed of Light ⚡️
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Have you ever deployed infrastructure on AWS China?
I have one of my customers who want to use Qovery to deploy their apps on AWS China. Technically speaking, Qovery runs on Kubernetes and on all the usual AWS regions. But AWS China (Beijing) is a bit different (cf here)
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What CICD tool do you guys use?
Combining GitLab (CI) with Qovery (CD) sounds what you need.
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DevOps feedback wanted for Qovery
I am eager to get your feedback on Qovery - an open-source CD platform that helps thousands of developers and DevOps to build and scale on AWS.
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What’s your favorite way to host your own stuff quick & dirty?
Qovery - an open-source platform that makes AWS easier and there is a Terraform provider available
What are some alternatives?
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
porter - Kubernetes powered PaaS that runs in your own cloud.
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Medusa - Building blocks for digital commerce
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
Replibyte - Seed your development database with real data ⚡️
Searx - Privacy-respecting metasearch engine
nanos - A kernel designed to run one and only one application in a virtualized environment
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
nixpacks - App source + Nix packages + Docker = Image
rust-postgres - Native PostgreSQL driver for the Rust programming language
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications