Unleashing the Power of Vector Search and Semantic Caching in Java

Explore the cutting-edge features of vector search and semantic caching in Java through a conference talk that delves into the power of vector databases and the Redis OM library. Learn how vector databases are revolutionizing data handling by enabling semantic searches across various media types encoded as vectors. Discover how Redis OM for Java simplifies this innovative approach, making it accessible even to those new to vector data. Gain insights into the latest advancements in Redis OM, including its support for Redis vector search and seamless integration with OpenAI, Hugging Face, LangChain, and LlamaIndex. Understand how Redis OM simplifies vector indexing, data modeling, and querying for AI-powered applications through intuitive interfaces and semantic caching, which reduce the overhead of large language model calls. Presented by Luigi Fugaro, a seasoned computer scientist with extensive experience in various programming languages and a focus on observability, monitoring, and data management.