AI news for: Embeddings
Explore AI news and udpates focusing on Embeddings for the last 7 days.

Build a Retrieval-Augmented Generation (RAG) Agent with NVIDIA Nemotron
Unlike traditional LLM-based systems that are limited by their training data, retrieval-augmented generation (RAG) improves text generation by incorpo...

NVIDIA has introduced Agentic RAG, a new approach for text generation that combines LLMs with autonomous systems and external knowledge, enhancing their capabilities and versatility.
Key Takeaways:
Key Takeaways:
- Agentic RAG allows LLMs to access external knowledge, adapt to changing information, and perform complex reasoning tasks dynamically.
- The new approach can be built using NVIDIA NIM endpoints and tools like LangGraph, enabling developers to create advanced AI agents.
- Agentic RAG has applications in various domains, including customer support, IT Help Desks, and more, where agents can retrieve and process relevant information to provide accurate responses.
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