Semantic Search

New Dialogue AI makes sense of your document collections through analysis and aggregation. It extracts useful insights, summarizes information, and comprehends the text's meaning and context. Information retrieval, content classification, and decision-making are just a few of the applications it offers.

A significant portion of your operational expertise is recorded across your knowledge base; documents, email, web content. Using Natural Language Processing (NLP), New Dialogue AI can comprehend your data, giving you instant insights and summaries.

In this video, the user publishes a collection of documents. The user then prompts the AI with ‘give me a gist of what these documents are about’.

New Dialogue uses semantic search; an advanced information retrieval strategy that attempts to grasp the context and meaning of both the user's query and the content of your documents. 

Using semantic search, the AI strives to understand the meaning and context of a query and the information it’s given. This leads to more relevant search results because New Dialogue AI considers connections between words, concepts, and entities.

New Dialogue AI elevates your search and discovery experience

Like other Large Language Models (LLM), New Dialogue AI utilizes semantic search strategies to improve its comprehension and retrieval of information from your content in more contextually relevant ways

Natural Language Understanding

New Dialogue AI uses natural language processing (NLP) techniques to analyze the structure and meaning of text. This makes it easier for synonyms, related concepts, and context to be understood, which enhances New Dialogue AI's ability to find relevant information for your team

Concept-Based Retrieval

New Dialogue AI doesn't rely just on keywords; rather, it considers the underlying concepts or themes inside text. By doing this, New Dialogue AI finds the most relevant content even when the exact keywords are not used by the end user.

Entity Recognition

Semantic search frequently uses entity recognition to find identified entities in documents, including people, places, companies, dates, and more. This allows users to search for certain entities, improving the precision of the results produced by New Dialogue AI.

Contextual Understanding

New Dialogue AI considers data from both the question and the document. Large language models, such as New Dialogue AI, distinguish between several meanings of a word and infer the user's intention from the accompanying material.


New Dialogue AI personalizes the user experience by producing responses based on the person's prompts. Every response it gives back is based on the user's specific inputs, giving them a more helpful and relevant experience.