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Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Terrier is open source, and is a comprehensive, flexible and transparent platform for research and experimentation in text retrieval. Research can easily be carried out on standard TREC and CLEF test collections. Terrier is written in Java, and is developed at the School of Computing Science, University of Glasgow.

Web Search by the people, for the people YaCy is a free search engine that anyone can use to build a search portal for their intranet or to help search the public internet. When contributing to the world-wide peer network, the scale of YaCy is limited only by the number of users in the world and can index billions of web pages. It is fully decentralized, all users of the search engine network are equal, the network does not store user search requests and it is not possible for anyone to censor the content of the shared index. We want to achieve freedom of information through a free, distributed web search which is powered by the world's users.

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Gigablast is the leading clean-energy search engine. 90% of its power comes from wind energy, using PNM's Sky Blue energy program, thus only using a miniscule 13 amps of coal power. Gigablast also makes it easy to perform your query on the coal-based search engines by clicking links below the search results. So try us first, and if you don't find what you want, click the others, which use millions of coal and oil-based amps.

Lucid Imagination is the commercial company for Apache Solr/Lucene open source enterprise search.

"Searching 250 million lines of code"

Create instant answer plugins for DuckDuckGo

"Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents (search results but not only) into thematic categories."