techtimes

How RAG and Vector Databases Improve LLMs

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...
VentureBeat

Oracle bakes LLMs and vector support directly into HeatWave GenAI database

Oracle is expanding its HeatWave cloud database service with a set of new generative AI services, known collectively as HeatWave GenAI. The HeatWave platform was formerly branded as MySQL HeatWave. It ...
Business Wire

New Vector Database in Salesforce Data Cloud Will Power AI, Analytics, and Automation Using LLMs with Business Data for Use Across the Einstein 1 Platform

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...
InfoQ

Enhancing AI Capabilities: Google Cloud Integrates Vector Search in Managed Databases

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
InfoWorld

Oracle HeatWave’s in-database LLMs to help reduce infra costs

Oracle has added new features to the service formerly known as MySQL HeatWave to help in generative AI-based app development. Oracle is adding new generative AI-focused features to its Heatwave data ...
InfoWorld

Using PostgreSQL as a vector database in RAG

As many developers have come to realize, “Just use Postgres” is generally a good strategy. If and when your needs grow, you might want to swap in a larger and more performant vector database. Until ...