VentureBeat

New DeepMind study reveals a hidden bottleneck in vector search that breaks advanced RAG systems

Vector embeddings are the backbone of modern enterprise AI, powering everything from retrieval-augmented generation (RAG) to semantic search. But a new study from Google DeepMind reveals a fundamental ...

The Essence of RAG Is Not Vector Search

Are you confusing search algorithms with AI architecture? —Recently, I watched a YouTube video explaining RAG ...
MarkTechPost

Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

Google DeepMind's EmbeddingGemma 2 embeds text, code, images, video and audio in one 740M model for on-device RAG.
GitHub

PoC: Enhancing RAG Retrieval with LLM-Generated Enrichment

Prepends LLM-extracted document metadata (topic, type, keywords) to text chunks before embedding to improve vector search relevance. Pipeline: ...
Help Net Security

Vector embedding security gap exposes enterprise AI pipelines

Enterprise adoption of retrieval-augmented generation has moved sensitive corporate content into a new storage format that existing security tools cannot inspect. Companies deploying internal AI ...
Dataquest

Google Gemini Embedding 2: Multimodal AI Model for Enterprise Search

Google has introduced Gemini Embedding 2, its latest multimodal AI model designed to process text, images, video, audio and documents in a unified vector space. AI has been changing swiftly to the non ...

I stopped using vector search. The concept of "Vectorless RAG" that lets AI follow a table of contents

Are you really not blaming "chunking" for RAG accuracy?After building a RAG system, have you ever had this experience? Subtly ...
VentureBeat

How vector databases can revolutionize our relationship with generative AI

Generative AI has received a lot of attention already this year in the tech world and beyond. Whether it's ChatGPT’s prose or Stable Diffusion’s art, 2022 provided an insight into the potential for AI ...
Searchenginejournal.com

Introduction To Vector Databases And How To Use AI For SEO

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...