利用 Oracle Database 23ai 实现智能搜索和助手应用 [PRE1110]（2）.pdf

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1、 Leveraging Oracle Database 23ai for Intelligent Search and Assistant AppsBrent DayleySenior Principal Apex&Apps Dev Instructor,CSS OU Cloud DeliveryOracle UniversityOct 13,2025The following is intended to outline our general product direction.It is intended for information purposes only,and may not

2、 be incorporated into any contract.It is not a commitment to deliver any material,code,or functionality,and should not be relied upon in making purchasing decisions.The development,release,timing,and pricing of any features or functionality described for Oracles products may change and remains at th

3、e sole discretion of Oracle Corporation.Safe harbor statement2Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedAgenda3Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restricted/Highly RestrictedUnderstanding of AI Vector Search Fundament

4、alsUsing Embedding Models with Oracle AI Vector SearchBuilding RAG using PythonBuilding RAG using LangChainBuilding RAG using PL/SQLBuilding RAG for APEX ApplicationsAI Vector Search Professional CertificationOther Information4Copyright 2025,Oracle and/or its affiliates|Confidential:Internal/Restric

5、ted/Highly RestrictedThe session will run from 9:00 to 5:00We will break for lunchWe will take15-minute breaks(2)Leveraging Oracle Database 23ai for Intelligent Search and Assistant AppsRefresher:Vector Data Type and Vector EmbeddingsVector Data TypeIntroduced in Oracle Database 23aiStores Vector Em

6、beddings alongside other business dataCREATE TABLE house_for_sale(house_id NUMBER,price NUMBER,city VARCHAR2(400),house_photo BLOB,house_vector VECTOR);23aiDatabaseVector Embeddings Technique of representing data as vectors in a way that captures meaningful information.Piece of text could be a word,