llama_cloud_services

Knowledge Agents and Management in the Cloud (by run-llama)

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llama_cloud_services reviews and mentions

Posts with mentions or reviews of llama_cloud_services. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-06-02.
  • LlamaIndex File Chat Workflow with A2A Protocol
    4 projects | dev.to | 2 Jun 2025
    LlamaParse Documentation
  • Parsing PDFs (and more) in Elixir using Rust
    3 projects | news.ycombinator.com | 29 Jan 2025
    For instace Llamaparse(https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse...)uses LLMs for pdf text extraction, but the problem is hallucination. e.g > https://github.com/run-llama/llama_parse/issues/420

    There is also LLMWhisperer that preserves the layout(tables, checkboxes, forms)and hence the context. https://pg.llmwhisperer.unstract.com/

  • Adding an Amazon Bedrock Knowledge Base to the Forex Rate Assistant
    1 project | dev.to | 16 May 2024
    It's fair to think that undesirable artifacts and lack of structural context would impact search accuracy, performance, and ultimately cost. Consequently, it makes sense to perform some data pre-processing before passing the source documents to the RAG workflow. Third-party APIs and tools, such as LlamaParse and LayoutPDFReader, can help with pre-processing PDF data, however keep in mind that source documents may take any forms and there is no one-size-fits-all solution. You may have to resort to developing custom processes for pre-processing and search your unique data.
  • FLaNK-AIM Weekly 13 May 2024
    34 projects | dev.to | 13 May 2024
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  • LlamaCloud and LlamaParse
    9 projects | news.ycombinator.com | 20 Feb 2024
    I'm part of the team that build LlamaParse. It's net improvement compare to other PDF->Structured Text extractors (I build several in the past, includig https://github.com/axa-group/Parsr).

    For character extraction, LlamaParse use a mixture of OCR / character extraction from the PDF (it's the only parser I'm aware of that address some of the buggy PDF font issues, check the 'text' mode to see raw document before reconstruction), use a mixture of heuristic and Machine learning models to reconstruct the document.

    Once plug with a Recursive retrieval strategy, allow you to get Sota result on question answering over complexe text (see notebook: https://github.com/run-llama/llama_parse/blob/main/examples/...).

    AMA

  • A note from our sponsor - SaaSHub
    www.saashub.com | 12 Jul 2025
    SaaSHub helps you find the best software and product alternatives Learn more β†’

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