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標記為 Rag 的文章。
How we built semantic search, RAG and a Thai Visa AI Agent on NebulaDB, with real queries, query plans and retrieval scores measured on our 8.3M-document production server, and the guards that keep private data and invented numbers out of the answers.
落地 Amazon Bedrock、Bedrock AgentCore、SageMaker 與 Amazon Q,再在 Microsoft Teams 中啟動首個業務智慧體——含需求、工具與時間盒。