Semiconductor Engineering

Rethinking The Role Of CPUs In AI: A Practical RAG Implementation

In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes.
Hacker

Vector Databases Aren’t Enough: Why AI Needs Multi-Modal Memory Architectures

Cloud Architect at Amazon Web Services (AWS) specializing in cloud-native development, AI/ML, serverless compute, and event-driven architecture. Cloud Architect at Amazon Web Services (AWS) ...
VentureBeat

AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases

Vector databases emerged as a must-have technology foundation at the beginning of the modern gen AI era. What has changed over the last year, however, is that vectors, the numerical representations of ...
Computer Weekly

AWS recalibrates data economics further with S3 Vectors, batch & Intelligent-Tiering

The latest trends in software development from the Computer Weekly Application Developer Network. AI needs data, AI needs inter (and intra) data repository contextual linking and AI needs all of that ...
TechRepublic

vector databases

AWS re:Invent Day 2 delivered major AI updates, including new Nova models, Trainium3 servers, and Bedrock’s largest model expansion. Explore Get the web's best business technology news, tutorials, ...
SiliconANGLE

Pinecone scales its vector database to support more demanding workloads

Vector database startup Pinecone Systems Inc. today announced a new, high-performance deployment option for customers that need to support the most demanding enterprise use cases. It’s called ...
GitHub

When using FAISS vector db the delete function will not delete the vector from the FAISS index

the delete(self,vector_id:str) in FAISS vector db located at https://github.com/mem0ai/mem0/tree/main/mem0/vector_stores/faiss.py contains no code to delete an item ...
VentureBeat

From shiny object to sober reality: The vector database story, two years later

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...
Forbes

The Ending Of Guillermo Del Toro’s ‘Frankenstein,’ Explained

Guillermo Del Toro’s Frankenstein is now out on Netflix, with the monster (played by Jacob Elordi) shown to be far more human than his titular creator. The ending of the Netflix film differs from both ...
InfoQ

Vector Sync Patterns: Keeping AI Features Fresh When Your Data Changes

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
InfoQ

Building a RAG Application with Spring Boot, Spring AI, MongoDB Atlas Vector Search, and OpenAI

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

THE FAISS LIBRARY

Abstract: Vector databases typically manage large collections of embedding vectors. As AI applications are growing rapidly, the number of embeddings that need to be stored and indexed is increasing.