Supercharging RAG: Integrating LangChain and Oracle AI Database for Agentic Workflows скачать в хорошем качестве

Supercharging RAG: Integrating LangChain and Oracle AI Database for Agentic Workflows

Are you looking to create a super-intelligent version of your current RAG application? Then you have come to the right place. In order to develop a full-fledged agent from an existing RAG application (and be able to reason & act) you need to integrate decision making logic with your application along with vector searches. Join us as we show you how you can use the capabilities of Oracle's AI Database to create the next generation of AI applications. I will describe my own experience with integrating the langchain-oracledb library into a RAG application. This session will provide both the “why” and “how” of using langchain-oracledb to simplify vector operations as well as some consideration for creating agents that can both reason & act. Included is a live demonstration that goes through a notebook showing how to see the results of real-time vector search queries and view how the agents are behaving in real time. Resources: Demo Link: https://jasperan.github.io/oracle-ai-... Slides: https://jasperan.github.io/oracle-ai-... Integration package connecting Oracle AI Database and LangChain: https://pypi.org/project/langchain-or... Developer resources page: https://www.oracle.com/developer/reso... Meet us in London March 25th: https://www.oracle.com/uk/database/da... Meet us in NYC April 10th: https://www.oracle.com/database/data-... Check out our upcoming webinars: https://www.oracle.com/developer/events