Hi there, Llama Enthusiasts! 🦙
Welcome to this week's edition of the LlamaIndex newsletter! Over the last few weeks, we've launched brand new products including LlamaAgents and LlamaSheets, and we want to hear from you about your experience with them. Your feedback helps us build better tools for the community.
If you haven't explored LlamaCloud yet, make sure to sign up and get in touch with us to discuss your specific enterprise use case.
📣 Call for Feedback:
We're collecting feedback from early users of our newest products:
- Take a feedback call for LlamaAgents: Tell us about your agent workflows and use cases - Submit Form
- Take a feedback call for LlamaSheets: Share your experience with our spreadsheet parsing API - Submit Form
Users who schedule calls with us will be entered into a raffle for $50 gift cards!
🔮 What's Coming Up:
- December 4, 9AM PT: Webinar - Beyond OCR: How AI Agents Parse Complex Docs. Learn how AI agents handle document parsing challenges that traditional OCR can't solve. Register Here
- December 4, 11AM PT: LlamaAgents and LlamaSheets Office Hours in our Discord. Bring your questions and chat about these new releases with the team. Join Discord
🗺️ LlamaCloud:
- Use LlamaSheets with Coding Agents: Get coding agents like Claude Code and Cursor to help you build effective agents that make use of LlamaSheets, provided the right context. Check out this tutorial on how to set it up.
- LlamaSheets Beta Launch: Transform messy spreadsheets into AI-ready data with intelligent region classification, multi-stage processing pipeline, and simple 5-line Python integration. Perfect for financial analysis and automated reporting workflows. Blog Post, Intro Video.
- StudyLlama Web App: Organize your study materials with LlamaAgents! Create categories, upload notes, and watch as LlamaClassify and LlamaExtract automatically organize and summarize your content with Q&A generation. GitHub Repo
- LlamaExtract Table Row Mode: Extract data from table rows with precision using granular extraction capabilities that go beyond document-level processing. Perfect for invoices, financial reports, and inventory lists. Documentation.
- Table Row Extraction Deep Dive: New extraction target in LlamaExtract that solves the core problem of losing data from long documents with repeating entities. Intelligently segments documents and extracts entity by entity for exhaustive coverage. Technical Blog Post.
