Content

Target 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 complex RAG requirements such as multi-modal RAG, reference images, and flow charts. New features /specifications: OpenSearch LLM-Based Conversational Search Edition supports Agentic RAG After you make a dialogue request, an agent determines whether the dialogue result can meet the your requirements. If not, search and recheck will be triggered again to expand the recall content, thus improving the recall rate and accuracy of the RAG system. It is especially suitable for scenarios where questions are complex or need to be answered step by step.