generative_ai

From RAG to Riches: A Practical Guide to Building Semantic Search Using Embeddings and the OpenSearch Vector Database

From RAG to Riches: A Practical Guide to Building Semantic Search Using  Embeddings and the OpenSearch Vector Database

In this article, we delve into the evolution of search technologies, tracing the journey from the conventional keyword-based search methods to the cutting-edge advancements in semantic search. We discuss how semantic search leverages sentence embeddings to comprehend and align with the context and intentions behind user queries, thereby elevating the accuracy and relevance of search outcomes. Through the integration of vector databases such as OpenSearch, we illustrate the development of sophisticated semantic search systems designed to navigate the complexities of modern data sets. This approach not only delivers a more refined search experience but also enhances the precision of results by accurately interpreting the intent of user inquiries, representing a notable leap forward in the progression of search technology.

Generative AI and Beyond: Strategies for Directors of Innovation to Thrive

Generative AI and Beyond: Strategies for Directors of Innovation to Thrive

The Director of Innovation plays a crucial role in a company by staying informed about various technological advancements to maintain the company's competitive edge. In 2024, the key focus is generative AI, a technology prevalent in headlines and discussions across various domains, including everyday settings. Learn more about the relevance of AI in trend analysis, opportunity identification, and strategic planning in this article.