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Developers are exploring the capabilities of Retrieval-Augmented Generation (RAG) applications built over Excel sheets, leveraging advanced AI technologies. A new app utilizing Llama-3.2 has been proposed, allowing users to interact with complex Excel tables effectively. The app aims to enhance user experience by integrating conversational AI features. Additionally, LlamaCloud document processing technology is being utilized to enable RAG functionalities over extensive PDF collections. The advancements in RAG-powered AI assistants promise improved user interactions through deeper understanding and actionable insights.
Fully Local RAG over Excel Sheets 📊 Check out this thread by @akshay_pachaar on building a Llama-3.2-powered app that can answer questions over complex Excel tables. @llama_index provides the integrations and tools to make this super seamless. https://t.co/4WJ7ZcXy3H https://t.co/Xy256UsFB8
🤖 RAG-powered AI Assistants are here to transform user interactions From chat interfaces with conversational memory to advanced tool utilization, AI Assistants powered by Agentic RAG deliver: 🔍 Deeper understanding of user questions 🛠️ Actionable insights and better context… https://t.co/IqWfdVIaVG
Have your conversational voice assistant do RAG over 1M+ PDFs 💬📑 This is a great 🧵 and demo by @MarcusShiesser showing you how to augment an @elevenlabsio conversational assistant with a RAG tool powered by LlamaCloud document processing technology. 1. Serve the LlamaCloud… https://t.co/T8G2pjILnB https://t.co/s77PB0EQnY
