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(jerry from llamaindex here) we're gonna benchmark on ParseBench and report the results!

LiteParse is an open-source (Apache 2.0) document parser that provides high-quality spatial text parsing with bounding boxes. It does not depend on local or frontier VLMs. Because …

This blog post makes some good points about using vision models for retrieval, but I do want to call out a few problems: 1. The blog conflates indexing/retrieval with document pars…

hi! (i'm jerry ceo of llamaindex) would be happy to chat and show you our excel agent capabilities, feel free to send us a message at support@runllama.ai. financial statements like…

yeah disable OCR is for documents where you don't need to OCR a scanned image, it'll just parse out the text it's faster if True

yes! we have foreign language support for better OCR on scans. Here's some more details. Docs: https://docs.cloud.llamaindex.ai/llamaparse/features/parsing... Notebook: https://git…

(disclaimer I am CEO of llamaindex, which includes LlamaParse) Nice article! We're actively benchmarking Gemini 2.0 right now and if the results are as good as implied by this arti…

(jerry here from llamaindex) wait do you have specific examples of "overengineering and overabstracting" from llamaindex? very open to feedback and suggestions on improvement - we'…

(jerry here) Thanks for running through the benchmark! Just to clarify some things: (1) The idea is that LlamaParse's markdown representation lends itself to the rest of LlamaIndex…

Hey all! Jerry here (from LlamaIndex). We love the feedback, and one main point especially seems to be around making the docs better: - Improve the organization to better expose bo…

100%, if the API itself can choose to call a function or an LLM, then it's way easier to build any agent loop without extensive prompt engineering + worrying about errors. Tweeted …

Hi all - Jerry (co-founder/CEO) here, here to help answer any questions you might have! We're building a data framework to unlock the full capabilities of LLMs on top of your priva…

depending on what questions you're asking, you could check out LlamaIndex query capabilities - can define different index structures for different queries + can plugin to your lang…

would love to have CozoDB be a part of llamaindex too! have a bunch of integrations with existing vector db's https://github.com/jerryjliu/llama_index/tree/main/gpt_index...

author of llamaindex here: there's some overlap but our primary use case is going deep into indexing+retrieval for LLM's (and going deep in that area). Not really doing agents/chat…

Making retrieval really really good is part of the mission of LlamaIndex! Given a natural language input, find the best way to return a set of documents that is relevant to your LL…

This is what llama-index was designed for! https://gpt-index.readthedocs.io/en/latest/ Would love to incorporate this Github repo loader into LlamaHub

LlamaIndex offers ways to chunk up your data and store them in data structures for response synthesis: https://gpt-index.readthedocs.io/en/latest/guides/primer.htm...

This is exactly what LlamaIndex is meant to solve! A set of data structures to augment LLM's with your data: https://github.com/jerryjliu/gpt_index

This is what we've designed LlamaIndex for! https://github.com/jerryjliu/gpt_index . Designed to help you "index" over a large doc corpus in different ways for use with LLM prompts…

(creator of gpt index / llamaindex here https://github.com/jerryjliu/gpt_index ) Funny that we had just rebranded our tool from GPT Index to LlamaIndex about a week ago to avoid po…