Search
X-Stream combines advanced conversational AI technologies with cognitive search capabilities to retrieve relevant information from one or more documents. The goal of X-Stream is to provide an efficient, cost-effective access to information, enabling the users (agents and analysts) to leverage the knowledge they need to work efficiently and make informed decisions.
The Search feature allows users to ask questions and find the required information. Enriched documents are chunked and processed through an embedding model, with the chunks stored in a vector form. This vectorization enables Context Retriever to perform semantic similarity analysis between the question and the document chunks.
Business users can search information using two methods:
Knowledge Q&A
Context Retriever