dbta

Beyond RAG basics: Strategies and best practices for implementing RAG

Join DBTA and Elastic as we explore advanced techniques in retrieval augmented generation (RAG). This talk provides developers, data scientists, and AI enthusiasts with essential insights to elevate ...
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 ...
Geeky Gadgets

Learn how to build RAG chatbots – complete workflow

if you’re looking to build a wide range of AI chatbot you might be interested in a fantastic tutorial created by James Briggs on how to use Retrieval Augmented Generation (RAG) to make chatbot’s more ...
VentureBeat

Most RAG systems don’t understand sophisticated documents — they shred them

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.
Geeky Gadgets

Build advanced AI agents and assistants using Python

The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...
VentureBeat

How agentic RAG can be a game-changer for data processing and retrieval

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now When large language models (LLMs) emerged, ...