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Information retrieval and knowledge extraction is a growing field, which has witnessed a notable shift with the advent of Large Language Models (LLMs) and knowledge graphs, particularly within the context of multi-hop question answering.
In this session, we’ll walk you through a project that leverages the robust capabilities of Neo4j Vector Index and Neo4j Graph Database to implement a retrieval-augmented generation system, aiming to provide precise and contextually rich answers to user queries.
Guest: Saurav Joshi
