Content

Intended customers: 1. Customers who have content search requirements for internal enterprise documents and knowledge bases, and in business scenarios such as e-commerce and marketing. 2. Customers who have requirements for conversational search. 3. Customers who are concerned about costs and want to build a dedicated large language model (LLM) by using fewer resources, less manpower, and lower budgets. 4. Customers who have requirements for multi-modal retrieval augmented generation (RAG) and reference images. New features: The reference image policy of OpenSearch LLM-Based Conversational Search Edition is updated to support image content identification and multi-image retrieval. 1. The multi-modal LLM identifies and analyzes the image content in documents and adds the content to the knowledge bases of enterprises for search and content generation. 2. Multiple reference images can be returned at a time. This feature is applicable to customers whose documents contain large numbers of images and customers who have requirements for the quantity of returned flowcharts and the e-commerce shopping guide.