100+ AI Use Cases with Real Life Examples
This article gathers the most common AI use cases covering marketing, sales, customer services, security, technology, and other processes.| AIMultiple
Vector databases power the retrieval layer in RAG workflows by storing document and query embeddings as high‑dimensional vectors. They enable fast similarity searches based on vector distances.| AIMultiple
I have been relying on SQL for data analysis for 18 years, beginning with my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.| AIMultiple
LLMs are growing rapidly, but development and fine-tuning remain expensive.1 | AIMultiple
Dense vector search is excellent at capturing semantic intent, but it often struggles with queries that demand high keyword accuracy. To quantify this gap, we benchmarked a standard dense-only retriever against a hybrid RAG system that incorporates SPLADE sparse vectors.| AIMultiple
The effectiveness of any Retrieval-Augmented Generation (RAG) system depends on the precision of its retriever component.| AIMultiple
This article gathers the most common AI use cases covering marketing, sales, customer services, security, technology, and other processes.| AIMultiple
Discover & compare top 20 AI governance tools to shortlist best AI governance software for your business, & start build & deploy responsible AI.| AIMultiple
