multimodal RAG

Build a Multimodal RAG System That Understands PDFs (Text + Images) Using Groq 

The majority of RAG systems nowadays are not complete, they read the text but not the images, which actually describe the information. When your system is not able to retrieve diagrams, charts, and images of documents, it lacks half the knowledge. This is one of the most prevalent gaps according to the experience of building…

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Introduction to Retrieval Augmented Generation (RAG)

In today’s field of artificial intelligence, where language models are highly valued, one of the most critical requirements is to ensure that the answers generated can be reliably accurate. Retrieval Augmented Generation (RAG) is an innovative artificial intelligence system that aims to improve the quality of responses produced by LLM using additional data sources. But…

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A Practitioners Guide to Retrieval Augmented Generation (RAG)

“The power of artificial intelligence is the power to transform humans.” – Fei-Fei Li Welcome to our comprehensive guide on Retrieval Augmented Generation (RAG), a revolutionary technique that combines powerful search capabilities with generative AI to enhance AI systems like langchain, a leading large language model. In this guide, we will explore the concept of…

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