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Hello Friends, I’ve been diving deep into Retrieval-Augmented Generation (RAG) and its evolved form — Agentic RAG — lately, and I’m genuinely curious about how others are thinking about it. I’d love to hear your ideas, interesting use cases, or eve

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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

The future can be made better if we some way able to connect students together.

How about working on regular saas apps and making better versions of them in some way. Someone wanna work on it?

Just downloaded medial And i must say the community here is far better than most of the other social media out there! Also the news and article section beats the prupose of having multiple apps.

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

TAM, SAM, & SOM How to calculate the size of your market? Any Specific way to find the actual number instead of Assumption numbers? The formula everyone knows, but the actual and accurate information how we can find to get it validated.

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

Is the Zerodha way of doing Startup better or the Groww way of doing it?