Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

Learn how you can use LLMs to scale your SEO or marketing efforts for the most tedious tasks. ... But the question is, ... A simple example of a vector is a vector in two-dimensional space, ...

For example, a vector database can find images similar to a given image, or text similar to a given text. With vectors, LLMs can process requests quickly delivering the performance needed to run ...

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This led to the quick rise of vector database vendors, such as Pinecone, a well-known fully managed vector database built for developers to scale high-performance AI applications. Other examples ...

Vector stores are the water of generative AI, agentic AI and systems that include retrieval-augmented generation (RAG), so building them now will give businesses the foundation they need for the ...

Vector embeddings on data lakehouse not only avoids the ingress and egress complexities and cost but also can scale to massive volumes,” said Kaushik Muniandi, engineering manager at NielsenIQ. “We ...

By adding support for ANN instead, Rockset makes it possible to create vector embeddings for any AI model and index them for fast similarity search at massive scale, the company said.