Aleetheia similarity search tool processes the contents of your text and finds documents with similar content. As an example currently we can search in the PubMed database of 25 million abstracts: a 5-15 sentence long text is processed and matched with abstracts of similar content in a matter of seconds. The results are listed in order of relevance and grouped by the subject of the abstracts. It also works in unstructured datasets.

Aleetheia keyword search tool provides semantically related results in order of relevance i.e. from most frequently appearing context to unusual context. As an example searching for the word “Egypt” in English language literature the resulting hits are sorted in order of relevance around the subject of Egypt starting with books on Egyptology and ending with “ The Last of the Mohicans”, a Native American adventure novel of James Fenimore Cooper where Egypt is mentioned once in Chapter 5.

Our Aleetheia associative search tool provides results based on context similarity originating from keyword association. It analyses the keyword and identifies the related content and gives back hits which might not even contain the keyword but are relevant in context. As an example searching for “e-liquid”, the filler for e-cigarettes, the first results in Google Scholar is about liquid egg, irrelevant to our subject, while using Aleetheia you will get hits of e-cigarette refill liquid, cartridges, etc.