> For the complete documentation index, see [llms.txt](https://docs-conversational-ai.syntphony.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language.md). # Natural Language Natural Language Processing (NLP) is a subset of linguistics, computer science and artificial intelligence, concerned with interactions between computers and humans. This technology helps the computer to process human language and “understand” contextual nuances in text or voice and thus respond to users' demands. eva has its own cognitive engine technology: the eva NLP, a NTT DATA proprietary Natural Language Processing engine, that comes integrated as default. eva also allows you to use different cognitive engines. Learn in this chapter how to get the best out of its capabilities and how to integrate other NLPs. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs-conversational-ai.syntphony.com/eva-3.3.1-1/using-eva/natural-language.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.