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@jerryjliu0

We’ve been cooking up amazing tech the past few months, and we’re excited to announce it as part of LlamaCloud today 💫 🔥 LlamaParse 🔥: This is a really really good document parser that can parse out embedded tables, do OCR, and directly integrates with @llama_index advanced RAG. Throw in your hairiest PDF, whether it’s a financial report, ArXiv paper, architecture spec. Anyone can start using LlamaParse today! ⚙️ Managed Ingestion/Retrieval ⚙️ : If you’re an enterprise, we’ve built up a managed ingestion/retrieval API designed to help connect to your data sources and downstream storage systems. Experiment with pipelines, deploy them, and version changes. The full blog post can be found here: https://t.co/npcacYbrzx

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    "full_text": "Introducing LlamaCloud 🦙🌤️\n\nToday we’re thrilled to introduce LlamaCloud, a managed service designed to bring production-grade data for your LLM and RAG app.\n\nSpend less time data wrangling and more time on application logic. Launching with the following components:\n\n1️⃣ LlamaParse 📑: a proprietary parser designed to be really really good at complex documents with embedded tables. Build advanced RAG over semi-structured PDFs, and ask questions that simply aren’t possible with the naive stack. Available publicly day 1 🔥\n\n2️⃣ Managed Ingestion/Retrieval API ⚙️: An API letting you easily ingest/retrieve data from data sources. Opening up in private beta to select enterprises.\n\nWe’re excited to be joined by launch users, partners, and collaborators:\n@mendableai\n@DataStax\n@MongoDB\n@qdrant_engine\n@nvidia\n+ some awesome hackathon projects at the @llama_index hackathon\n\nCheck out our FULL blog post on LlamaCloud and LlamaParse: https://t.co/FGI99qC3lk\nLlamaParse Client Repo: https://t.co/NldQN580hl\nSignup for a LlamaCloud account to use LlamaParse: https://t.co/yQGTiRSNvj\nInterested in the broader LlamaCloud offering? Come talk to us: https://t.co/ek65coieav\nAlso we have a slick new website 🌐: https://t.co/9HrriBpDJj",
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