<ul><li>The AI application demonstrates the interaction with a RESTful API server to obtain real-time data for use in Gemini Pro LLMs through Pinecone-powered RAG.</li><li>The tutorial covers the process flow from frontend to backend and showcases a RESTful server with over 4000 question-answer pairs from various categories.</li><li>Key aspects include sending GET requests to live API endpoints, parsing JSON for embeddings, managing large API responses with batch size, generating embeddings stored in Pinecone Vector DB, utilizing Gemini Pro LLM for response accuracy, and integrating knowledge from multiple sources.</li><li>The upcoming Part 21 will delve into integrating a time-series database, catering to developers, ML enthusiasts, researchers, and those interested in enhancing their applications with live web knowledge.</li></ul>

RAG Powered AI App : How To Integrate REST API For REAL TIME Data for Knowledge Base (Line by Line…

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