MeiliSearch
pg_search
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MeiliSearch | pg_search | |
---|---|---|
129 | 7 | |
43,284 | 1,229 | |
3.2% | 1.9% | |
9.8 | 6.8 | |
8 days ago | 4 months ago | |
Rust | Ruby | |
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.
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
pg_search
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The Ultimate Search for Rails - Episode 1
On the backend, we'll need a few tools. Apart from the classics (ActiveRecord scopes and the pg_search gem), you’ll see how the (yet officially unreleased but production-tested) all_futures gem, built by SR authors, will act as an ideal ephemeral object to temporarily store our filter params and host our search logic. Finally, we’ll use pagy for pagination duties.
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Application Search Feature more that ActiveRecord;
You can take a look at pg_search if you’re using Postgres
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How to build a search engine with Ruby on Rails
This was a really good read, thanks. I've got into the habit of jumping straight to PgSearch but could definitely apply this approach to some existing projects.
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Instant search with Rails 6 and Hotwire
Cleaner, more performant database queries: Definitely don't just leave your query sitting in the controller! For production use cases, you'd want to consider an option like pg_search
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Postgres Full-Text Search: A Search Engine in a Database
If you are using Rails with Postgres you can use pg_search gem to build the named scopes to take advantage of full text search.
https://github.com/Casecommons/pg_search
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Tips for optimizing pg_search?
Hey guys. Looking to release an app for mobile that will be using a rails API. The app will heavily rely on search. I know the go-to is to use elasticsearch but wanted to see if there was enough user demand for the MVP before shelling out $50/mo for the heroku add on. In the mean time I've been using pg_search. From the eye test it's performing okay but will be adding a table that houses over 350K records. With this in mind I was wondering if you all had any tips for increasing the overall speed for search from the model and controller level. Also should note that I'm open to any other free search gems if they deem bette fit.
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Rails Search Bar
There are two basic search configurations with pg_search, a Single Model search scope or a multi Model configuration. In my case I am only using the Single Model configuration, but you can read more about multi-search in the documentation.
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
ransack - Object-based searching.
zincsearch - ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
Elasticsearch Rails - Elasticsearch integrations for ActiveModel/Record and Ruby on Rails
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
textacular - Textacular exposes full text search capabilities from PostgreSQL, and allows you to declare full text indexes. Textacular will extend ActiveRecord with named_scope methods making searching easy and fun!
Searx - Privacy-respecting metasearch engine
elasticsearch-ruby - Ruby integrations for Elasticsearch
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Searchkick - Intelligent search made easy
rust-postgres - Native PostgreSQL driver for the Rust programming language
zombodb - Making Postgres and Elasticsearch work together like it's 2023