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: OpenSearch LLM-Based Conversational Search Edition provides the model evaluation and performance comparison capabilities. 1. Users can upload multiple questions and reference answers at a time, view the performance of specific conversations, and evaluate and score the performance. 2. Users can set and view the evaluation scores for different parameter configurations to optimize the RAG system.