Victor Rodriguez-Fernandez

🔍 Extracting the core knowledge from documents is a common problem for many people, from students to corporate employees - and many people have found @NotebookLM useful . But what if you could have your own, fully open-source NotebookLM, running on your computer at any time you want? That's exactly what we built at LlamaIndex: NotebookLlaMa, your smart assistant for your smartest tasks. We built it on top of our very own LlamaCloud, with best-in-class agentic- and OCR-driven parsing to get the best out of your files, as well as highly intelligent extraction agents to find the most valuable knowledge across your documents, and accurate, fully-automated document ingestion, indexing and retrieval pipelines so that your knowledge is always only a question away! And we're just getting started: we do not only provide you with a document chat, a summary of your document, the highlights of it and a detailed Q&A section, but we also create mind maps, leveraging the structured output capabilities of @OpenAI, and in-depth, podcast-like audio conversations, about your document employing @ElevenLabs text-to-speech models! To cap it all, we also integrate with @opentelemetry giving you real-time insights on your workflows. 👀Curious to give it a try? You can set it up from the GitHub repo: github.com/run-llama/note… And don't forget to explore our LlamaCloud services: cloud.llamaindex.ai And learn more about it in our docs: docs.cloud.llamaindex.ai

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