Here are a few ideas on how to effectively implement the search techniques, algorithms, and software for better results

1. Elasticsearch makes use of the Lucene library. It’s a programme that enables you to look for particular words or phrases within documents and even offers analytics to help you comprehend your data better. Advanced search capabilities like faceted search, autocomplete, and suggestion can be used with elasticsearch.
2. Another type of search tool based on Apache Lucene is Solr. It’s an effective tool with the capacity to handle massive data sets and deliver quick search results. Advanced search features like faceted search, fuzzy search, and geospatial search can be implemented using Solr.
3. You can use Algolia as a search API to speed up and ensure the accuracy of the search results on your website. It offers sophisticated search capabilities including typo tolerance, geolocation, and personalisation and is compatible with a wide range of computer languages and frameworks.
4. You can use the Apache Lucene library to create a search engine that can look for particular words or phrases within documents. It can be integrated with many different programming languages and has advanced search functions including stemming, synonym identification, and proximity search.
5. Open-source search engine Sphinx Search can deliver quick and scalable search results for your website. It offers full-text search capabilities as well as more sophisticated search options including stemming, phrase search, and geographical search.

When choosing a search method, algorithm, or software for your website, it’s important to consider your specific needs and the resources you have available for hosting and maintenance. You’ll want to think about the size and complexity of your data, the search features you need, and the level of support and maintenance that each option requires.