Geeky Gadgets

Unlock Next-Level RAG Performance with the Jina v4 Embedding Model

What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...
Semiconductor Engineering

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

How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...
VentureBeat

Cohere adds vision to its RAG search capabilities

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cohere has added multimodal embeddings to its search model, allowing ...
InfoQ

Jina AI's Open-Source Embedding Model Outperforms OpenAI's Ada

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 ...
VentureBeat

Why Google’s File Search could displace DIY RAG stacks in the enterprise

To help solve this, Google released the File Search Tool on the Gemini API, a fully managed RAG system “that abstracts away the retrieval pipeline.” File Search removes much of the tool and ...
Geeky Gadgets

LLMWare unified framework for developing LLM apps with RAG

– High-performance document parsers to rapidly ingest, text chunk and ingest common document types. – Comprehensive intuitive querying methods: semantic, text, and hybrid retrieval with integrated ...