Simplify RAG development for AI apps with LangChain and Redis.
Watch this session for an in-depth exploration of Retrieval-Augmented Generation (RAG) and its application within the LangChain framework. RAG is a key technique for integrating domain-specific data with Large Language Models (LLMs) that is crucial for organizations looking to unlock the power of LLMs.
This session will highlight LangChain’s role in facilitating RAG-based applications, advanced techniques, and the critical role of Redis Enterprise in enhancing these systems’ adaptability, resiliency, and performance at scale.
Watch this session to gain insight into:
Senior Applied AI Engineer
Learn to build GenAI apps, fast!