Harnessing the Power of LangGraph in LLM+RAG Applications//Sigal Shaharabani, Backend TL& GL, Tikal
This talk will delve into the development of applications that combine Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG), with a special focus on the advantages of using LangGraph. We will briefly review the foundational concepts of LLMs and RAG, and then shift our attention to how LangGraph enhances these applications through its powerful features and efficient query handling, using Couchbase's vector search for RAG.
Attendees will see practical demonstrations of LangGraph's capabilities. I will showcase how to leverage LangGraph and Couchbase's vector search to create high-performance LLM+RAG applications that deliver superior user experiences.
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