insideHPC

New MongoDB Atlas Vector Search Capabilities Help Developers Build and Scale AI Applications

MongoDB, Inc. (NASDAQ: MDB) announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search that make it even faster and easier for developers to ...
InfoWorld

Building LLM applications with vector search in Azure Cognitive Services

Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...
Business Wire

Qdrant Launches Groundbreaking Pure Vector-Based Hybrid Search, Setting Higher Standards for RAG and AI Applications

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...
dbta

Qdrant Becomes the Only Managed Vector Database to Offer Multimodal Inference, Accelerating Real-Time AI

Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...
PR Newswire

KX LAUNCHES KDB.AI EARLY ACCESS PROGRAM: NAVIGATING THE FUTURE OF STATEFUL & REAL-TIME AI APPLICATIONS WITH THE WORLD'S #1 VECTOR DATABASE

With generative AI forecast to add up to $4.4 trillion annually to the global economy, demand for resilient vector databases to support high-performance generative AI and semantic search applications ...
Nature

Support Vector Machine Techniques and Applications

Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...