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Learn how to build a RAG application (!) using @eyelevelai with its super solid ETL pipeline for performing RAG on complex docs (!!) using @GroqInc for fast AI inference (!!!) and expose your local @FastAPI server over the internet via @ngrokHQ h

Retrieval-Augmented Generation (RAG) is a GenAI framework that enhances large language models (LLMs) by incorporating information from external knowledge bases, improving accuracy, relevance, and reliability of generated responses. Here's a more det

I am thinking about an AI model with multiple languages support especially devnagari script languages , we are planning to build an RAG to parse a document and provide the data to the LLM , is this idea feasible and useful suggestions are welcomed

If I were learning RAG from scratch in 2025... here's exactly how I'd do it. But here I bring you the ultimate resource list for absolutely no cost. RAG is one of the most practical, production-ready LLM patterns today. Here's All you need to get s

How RAG Gen AI Helps Businesses Retrieval-Augmented Generation (RAG) enhances AI by combining real-time data retrieval with generative models, making it highly effective for businesses. Key Benefits: Better Decision-Making – Provides real-time ins

With AI and LLM do you think we can build a better AI based smartphone ?

In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

Working on a cool AI project, that involves vector db and LLM fine-tuning

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India’s large language model (LLM) is expected to be ready within the next 10 months, said the Minister of Electronics and IT Ashwini Vaishnaw on Thursday. “We have created the framework, and it is being launched today. Our focus is on building AI m