Context-sensitive information retrieval

Organizations today have increased expectations for modernized workflows and try to use generative AI to process large data volumes for their desired outcomes. In this session, learn how to build a generative AI application for context-sensitive information retrieval to augment decision-making and enable accurate, efficient, and ethical data-driven operations. We demonstrate how to quickly build an application to extract knowledge from documents and provide a question-answering and discovery interface to your users. We walk through the steps to streamline document ingestion and extraction as well as create embedding models stored in a vector store. Once ingestion is done, we share how this chatbot interface allows you to ask questions in natural language, get contextual answer and query the vector store semantically.

Speakers: 
Kuldeep Singh, Senior Solutions Architect, AWS India
Anurag Vikram Singh, Solutions Architect, AWS India