Matthew Groves, DevRel engineer at Couchbase, and Nithish Raghunandanan, senior developer advocate at Couchbase, joined DBTA's webinar Coding With AI: Vector Search and RAG-Building with AI, and AI ...

Agentic RAG isn’t a hypothetical concept either. It’s already being used by one of Vectorize’s early users, AI inference silicon startup Groq, which recently raised $640 million.

This results in a smaller number of vectors. Conversely, to maximize the number of vectors, SSD capacity consumption per vector needs to be reduced, which results in lower performance.

This pure vector-based hybrid search combines the best of both to achieve better results at lower costs in the realm of RAG. This will help users excel in the unfolding AI-centric world.

DataStax unveils a new data API to simplify the creation of generative AI RAG applications, enhancing developer accessibility and optimizing performance with native vector database features.

Supercharging India’s AI Innovation with Vector Search and Retrieval Augmented Generation (RAG) Take your AI initiatives to the next level with Elastic. Learn from industry experts, network with ...

We ran an experiment using Morris et. al’s Vec2Text model, to demonstrate the privacy risk of text embeddings with sensitive data. As we’ll show, a large percentage of sensitive data can be recovered ...

In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of solid-state drives (SSDs), KIOXIA today ...

In an ongoing effort to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by optimizing the use of solid-state drives (SSDs), Kioxia ...