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LlamaIndex πŸ¦™ Profile
LlamaIndex πŸ¦™

@llama_index

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Build AI agents over your documents Github: https://t.co/HC19j7vMwc Docs: https://t.co/QInqg2zksh LlamaCloud: https://t.co/yQGTiRSNvj

Joined December 2022
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@llama_index
LlamaIndex πŸ¦™
49 minutes
RT @jerryjliu0: Build an AI agent that can generate visual reports πŸ§‘β€πŸ”¬πŸ€–. It’s fine to have AI agents generate text, but it’s way more fun t….
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@llama_index
LlamaIndex πŸ¦™
23 hours
⭐️ New integration release ⭐️: S3 vector storage! πŸ€–. Our new S3VectorStore integration combines AWS S3's enterprise-grade scalability with LlamaIndex, giving your agent workflows a robust knowledge foundation that grows with your needs. Build smarter agent workflows that:.➑️
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@llama_index
LlamaIndex πŸ¦™
1 day
Replace git commands with natural language!.Introducing ✨gut✨: A human-in-the-loop agent in the form of a command line tool. πŸ’¬ Explain the git actions you want to take in human language.πŸ€– Wait for the agent to figure out the git command, explain it to you and wait for your
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@llama_index
LlamaIndex πŸ¦™
2 days
RT @jerryjliu0: Can β€œscreenshotting a page and feeding it to the LLM” can replace existing document processing solutions?. I saw some discu….
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@llama_index
LlamaIndex πŸ¦™
2 days
RT @jerryjliu0: One of the biggest promises of agents is performing e2e knowledge work, and a lot of human knowledge work is over documents….
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@llama_index
LlamaIndex πŸ¦™
2 days
LLM APIs aren't enough for production document parsing - here's what you need instead. While frontier models like GPT-4.1, Claude Sonnet 4.0, and Gemini 2.5 Pro have made traditional OCR obsolete, screenshot-only parsing still has critical gaps for enterprise use:. πŸ“Š Accuracy
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@llama_index
LlamaIndex πŸ¦™
2 days
One week left to go! Join the LlamaIndex and @Snowflake teams in Amsterdam for an AI agent meetup. Our DevRel engineer @tuanacelik will be there to discuss everything document agents, the challenges of building AI powered document processing agents and more. Registrations here:
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@llama_index
LlamaIndex πŸ¦™
2 days
Introducing FlowMaker, our new experimental open source visual agent builder that lets you create AI agents in LlamaIndex TypeScript using drag-and-drop, without writing a line of code!. FlowMaker lets you:.➑️ Build an agent by connecting user input nodes to language models.➑️
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@llama_index
LlamaIndex πŸ¦™
3 days
State management in LlamaIndex workflows just got a major upgrade with typed state support! 🎯. Managing data flow between workflow steps is now more robust and developer-friendly than ever. Here's what you can now do:. πŸ”„ Use Context objects to share data between non-connected
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@llama_index
LlamaIndex πŸ¦™
3 days
πŸ™‹ The community asked: "Is NotebookLlaMa ever going to get a space where we can see all our previously processed documents?".πŸ¦™πŸ“š And we responded with a new feature: all your documents are now in one place - a full-fledged document management UI: watch the demo belowπŸ‘‡.πŸ”’ And
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@llama_index
LlamaIndex πŸ¦™
3 days
Build a multimodal report generation agent that combines text and images seamlessly πŸ“Š. This video walkthrough by @tuanacelik demonstrates how to create an intelligent agent that can generate comprehensive reports by parsing complex PDFs like research papers and extracting both
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@llama_index
LlamaIndex πŸ¦™
4 days
πŸ“„ Still fighting with OCR for document processing?. PDFs are everywhere but parsing and extracting their data has always been a nightmare. Time to automate PDF parsing and extraction with LLMs:. πŸ”₯ Beyond OCR limitations.πŸš€ Intelligent document understanding.πŸ’‘ Transform PDFs β†’
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@llama_index
LlamaIndex πŸ¦™
4 days
New LlamaParse feature: header and footer detection!. If you're using Balanced or Premium mode, we will automatically detect page headers and footers. This allows you to selectively hide them from your parsed output (useful to avoid repetition) or to add prefixes and suffixes to
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@llama_index
LlamaIndex πŸ¦™
4 days
LlamaCloud nodes for @n8n_io are here!. We've created and n8n nodes that bring LlamaCloud's document parsing and extraction agents, as well as your LlamaCloud indexes as knowledge bases into your n8n automation workflows. πŸ€– Connect LlamaCloud nodes to your existing workflows
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@llama_index
LlamaIndex πŸ¦™
4 days
RT @jerryjliu0: We’ve built a fully open-source RFP (Request for Proposal) Response Agent that you can both use out-of-the-box and also clo….
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@llama_index
LlamaIndex πŸ¦™
5 days
Ready to build cutting-edge AI agents that push the limits of LLMs? πŸš€. We're excited to sponsor the A2A Agents Hackathon in San Francisco this Saturday, July 26, where our VP of Developer Relations @seldo will be speaking and judging alongside incredible experts from
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@llama_index
LlamaIndex πŸ¦™
5 days
Automate RFP Responses in Minutes with our open-source project!. Learn how to transform the time-consuming RFP (Request for Proposal) response process from hours of manual work into an automated workflow that takes just minutes. This open-source demo showcases LlamaIndex's
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@llama_index
LlamaIndex πŸ¦™
5 days
πŸŽ™οΈ Always wanted to turn your documents into in-depth, podcast-like conversations?.πŸ¦™πŸ“š NotebookLlaMa, our OSS @NotebookLM clone, just got an upgrade on that side!.🎧 You can now customize the style of the conversation and the target audience, as well as add instructions and
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@llama_index
LlamaIndex πŸ¦™
6 days
RT @jerryjliu0: Introducing `gut` - an AI agent for git πŸ€–πŸ§‘β€πŸ’». This is a really neat CLI-based tool from @itsclelia that lets you ask about….
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