
Prerender
OpenSearch
Sphinx Search
List.js
Apache Lucene
React Helmet
AppWise
Softgen AI
Typesense
Algolia
Meilisearch
ElasticSearch
Pinecone
Apache Solr
OpenSearch
Typesense Cloud
Prerender
TypesenseDevelopers and teams looking for a lightweight, fast, and developer-friendly search engine for their web or mobile applications. Typesense is particularly suitable for projects that require real-time search, typo-tolerance, and a straightforward integration process.
Based on our record, Typesense should be more popular than Prerender. It has been mentiond 61 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What framework or service are you using to pre-render your content? Check out https://nuxt.com and https://prerender.io if you're not using something like this already. Source: over 3 years ago
The best option is going to be using SSR using Next.js/Vite SSR/similar as others have mentioned. If you do want to stick to an SPA though (vanilla React + Vite/CRA), make sure your meta tags are set dynamically, and you can definitely pre-render (using prerender.io for example) as well. Source: over 3 years ago
If you don't go with Next, you'll want to make sure that you're properly setting all your page titles, meta descriptions, and tags with something like react-helmet (or whatever the newer fork of it is called) and prerendering with prerender.io or something. Source: over 3 years ago
Thank you for the comment. I'll investigate prerender.io. I think we'll most likely change the architecture, but if we continued the developers recommended next.js. Source: over 3 years ago
Depending on how many pages you have, that can get expensive. You can get around the cost by implementing prerender.io as a stopgap (to start getting your pages indexed again -- this can take precious time) and then work your way towards a node instance that handles the static rendering for you. There are lots of tutorials on this, but they depend on which instance of React you're working in. Source: over 3 years ago
In another set of benchmarks we measured keyword-only search relevance of Typesense, Meilisearch, Elasticsearch, and Amgix, on a number of BEIR datasets. Here is the summary of the nDCG@10 results for the tested datasets:. - Source: dev.to / 2 months ago
Index them with Typesense (a FOSS, lightning-fast, local-first Algolia alternative). - Source: dev.to / 4 months ago
For anyone who's interested, two other popular contenders for replacing Elasticsearch[1] are Typesense (https://typesense.org/) and Meilisearch (https://www.meilisearch.com/). [1] And also trying to replace Algolia, because both have cloud offerings. - Source: Hacker News / about 1 year ago
You might want to look at https://typesense.org/ for that. - Source: Hacker News / over 1 year ago
We use https://typesense.org/ for regular search, but it now has support for doing hybrid search, curious if anyone has tried it yet? - Source: Hacker News / almost 2 years ago
OpenSearch - OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Sphinx Search - Sphinx is an open source full text search server, designed with performance, relevance (search quality), and integration simplicity in mind. Sphinx lets you either batch index and search data stored in files, an SQL database, NoSQL storage.
Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API
List.js - Tiny, invisible and simple, yet powerful and incredibly fast vanilla JavaScript that adds search...
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.