Appbase.io provides a supercharged Elasticsearch experience with an advanced search relevance control plane that allows a user to build and test a relevant search with no code. Since this experience is powered under the hood with Elasticsearch - so you aren't limited in the future if you wish to build upon what appbase.io already offers. You can host with us, or run it alongside your existing Elasticsearch cluster.
What can you can do with appbase.io: - Build Auto suggestions (powered by n-grams, edge n-grams), - Highlighting support, - Support for 39 languages as well as support for multi-language search, - Popular suggestions based on analytics, - Set synonyms, - Use rank feature in addition to text relevance to optimize relevance tuning, - Advanced query rules to extend search relevance.
In addition to our no code control plane, one can use our JS UI components (4,000+ Github stars, 1MM+ downloads, actively used by more than 1,000 projects) to design the search experience for web and mobile. We offer these components for React, Vue, React Native and Vanilla JS.
When a search experience is powered with appbase.io, we additionally collect telemetry on search and click data and provide one of the most powerful analytics to visualize the search engagement and conversion metrics.
Head over here for a 14-day trial: https://dashboard.appbase.io/signup/
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Website | appbase.io |
Pricing URL | Official Appbase.io Pricing |
Details $ | paid Free Trial $19.0 / Monthly (Self-Hosted) |
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Release Date | 2015-08-01 |
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Website | solr.apache.org |
Pricing URL | - |
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Release Date | - |
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Based on our record, Apache Solr seems to be a lot more popular than Appbase.io. While we know about 17 links to Apache Solr, we've tracked only 1 mention of Appbase.io. 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.
We also have an open-source version of the appbase.io server (available as Docker/Linux binaries) with all the essential search features included: https://github.com/appbaseio/reactivesearch-api. Source: over 2 years ago
Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 7 months ago
Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: 11 months ago
If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: about 1 year ago
Developers will use their SQL database when searching for specific things like client names, product names, or address search. Now when you want to level up from there and search all tables you better off using a separated server with a specific program like https://solr.apache.org/. Source: over 1 year ago
We’re using a self-managed OpenSearch node here, but you can use Lucene, SOLR, ElasticSearch or Atlas Search. Source: over 1 year ago
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