The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...
Analytics Insight

Best Vector Database Options for RAG in 2026 Explained

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...
ZDNet

Want generative AI LLMs integrated with your business data? You need RAG

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...
VentureBeat

Vector database company Qdrant wants RAG to be more cost-effective

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More More companies are looking to include retrieval augmented generation (RAG ...
SiliconANGLE

RAG data preparation startup Vectorize launches with $3.6M in seed funding

Data integration startup Vectorize AI Inc. says its software is ready to play a critical role in the world of artificial intelligence after closing on a $3.6 million seed funding round today. The ...

Actian Launches VectorAI DB with 22x Faster Vector Search for Production AI Anywhere, Including the Edge

At AI Dev 26 x SF today, Actian, the data and AI division of HCLSoftware, announced Actian VectorAI DB, a portable vector database purpose-built to power production AI in regulated, disconnected, and ...

Endee Launches Managed Cloud for its Open-Source Vector Database with Generous Free Tier

The open-source vector database Endee.io, that is well known for its Ultra High performance with 10x lower Infra, is ...
CRN

Infinidat Introduces RAG AI Data Services

‘We work with [customers’ file data] to accelerate the process of learning and help avoid hallucination. We are targeting on-prem data. So this is not designed to go search the web or anything. That’s ...
dbta

Bringing Your Own Data to Generative AI with RAG

However, when it comes to adding generative AI capabilities to enterprise applications, we usually find that something is missing—the generative AI programs simply don't have the context to interact ...
Neowin

[Free download] Unlocking Data with Generative AI and RAG eBook (worth $31.99)[Free download] Unlocking Data with Generative AI and RAG eBook (worth $31.99)0 0

This free eBook that covers enhancing generative AI systems by integrating internal data with large language models using RAG is free to download until 12/3. Claim your complimentary copy of ...
dbta

Context Engineering for AI-Readiness: Enterprise RAG Architectures and Vector Databases

Today's enterprises need effective retrieval-augmented generation that extends existing data architectures without replacing current investments. As organizations face challenges in scaling RAG ...
InfoWorld

Teradata adds Enterprise Vector Store to augment RAG

Teradata’s partnership with Nvidia will allow developers to fine-tune NeMo Retriever microservices with custom models to build document ingestion and RAG applications. Teradata is adding vector ...