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  "full_text": "We’re publishing 2 new video tutorials 💫 in our advanced RAG series that shows you how to build an agentic workflow capable of dynamic retrieval: dynamically deciding how much context you want to retrieve, depending on the question, and dynamically querying a SQL database when necessary.\n\nDynamic retrieval can be helpful to create a unified QA interface:\n* For summarization-based questions: retrieve entire documents to answer the question.\n* For pointed questions: retrieve relevant chunks.\n* For analytics questions: query the SQL database.\n\nBuilt with LlamaCloud and @llama_index workflows. Check out our videos:\n\nDynamic Chunk/File Retrieval: https://t.co/SSA8pnkwbg\nCombined RAG + Text-to-SQL: https://t.co/PHpoLsiP5d",
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