reactivesearch
Typesense
reactivesearch | Typesense | |
---|---|---|
7 | 131 | |
4,879 | 18,225 | |
0.2% | 4.0% | |
9.4 | 9.8 | |
29 days ago | 1 day ago | |
JavaScript | C++ | |
Apache License 2.0 | 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.
reactivesearch
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7 Different Uses of SearchBox UI component - Includes Code Snippets
The SearchBox component is part of the ReactiveSearch UI kit: https://github.com/appbaseio/reactivesearch and works with Elasticsearch, OpenSearch, Solr, and MongoDB Atlas Search as search engine backends. Support for OpenAI is coming soon - star or watch the repo to be in the loop for this one.
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Search box and results component
reactivesearch has the most stars from what I can find on GH. I've never used one either, maybe someone else will have a better suggestion.
- Signs of an active and healthy project to contribute to?
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Tutorial: Build A Search UI With React And Elasticsearch
This is a follow-along post (takes a couple of hours to build this end-to-end) showing how to build a consumer grade search UI using React and Elasticsearch. It makes use of the https://github.com/appbaseio/reactivesearch library (Apache 2.0 licensed) that's being used by over 1,000 projects for building their search UI.
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Is there a simple library to build Amazon / eBay style store UI (sending requests to server when applying filters, but render the filters layout / paging)
It kinda depends what you have and what you want out of it, for https://demo.rapidez.io/women/tops-women we use Reactivesearch (Vue variant): https://opensource.appbase.io/reactivesearch/
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Top 5 React projects - December edition
🤩 Reactive Search- UI components for building data-driven search experiences.
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React Libraries
ReactiveSearch - UI components library for Elasticsearch
Typesense
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FlowDiver: The Road to SSR - Part 1
Disregarding props-drilling technique in favor of a more reliable and elegant solution we looked for inspiration elsewhere. Another project of ours .find was using Typesense/Algolia components, which looked a bit like black-box/magic, but at the same time provided a clean approach to build complex and highly customizable solutions.
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Release Radar · April 2024 Edition: Major updates from the open source community
Have you ever tried to look up something, only to realise your search engine doesn't recognise your typos? Typesense to the rescue! It's a fast, typo-tolerant search engine built for an easier browsing experience. The latest version comes with new features such as built-in conversational search, image search, voice search, analytics, and more. Dive into the release notes for the full list of changes and enhancements.
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Website Search Hurts My Feelings
There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).
- Typesense (https://github.com/typesense/typesense)
- Algolia
- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)
- Remote Machine Learning and Searching on a Raspberry Pi 5
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Open Source alternatives to tools you Pay for
Typesense - Open Source Alternative to Algolia
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DNS record "hn.algolia.com" is gone
If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.
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Vector databases: analyzing the trade-offs
I work on Typesense [1] (historically considered an open source alternative to Algolia).
We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.
You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]
You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).
You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.
[1] https://github.com/typesense/typesense
[2] https://typesense.org/docs/0.25.0/api/vector-search.html
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Creating an advanced search engine with PostgreSQL
For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense
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Obsidian Publish full text search
I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.
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DynamoDB search options
A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.
What are some alternatives?
react-instantsearch - ⚡️ Lightning-fast search for React and React Native applications, by Algolia.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
botpress - The open-source hub to build & deploy GPT/LLM Agents ⚡️
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
vue-reusability-with-composables - An example showing how to refactor a Vue component to use Vue 3 composables.
Apache Solr - Apache Lucene and Solr open-source search software
MindsDB - The platform for customizing AI from enterprise data
meilisearch-laravel-scout - MeiliSearch integration for Laravel Scout
Uppy - The next open source file uploader for web browsers :dog:
loki - Like Prometheus, but for logs.
react-desktop - React UI Components for macOS High Sierra and Windows 10
sonic - 🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.