Hi there, Llama Enthusiasts! 🦙
Welcome to this week's edition of the LlamaIndex newsletter! We're excited to share some incredible developments including our comprehensive guide on adding document understanding to Claude Code, and a fantastic full-stack agent example from our community. Plus, we're highlighting some amazing community energy from Vector Space Day in Berlin!
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.
🤩 The Highlights:
- Adding Document Understanding to Claude Code: Learn three complementary approaches to give coding agents true document intelligence - from MCP integration to enhanced CLI tools and agentic workflows. Bridge the gap between natural language business requirements and real enterprise automation. Blog Post
- Full-Stack Agent Application Example: Our OSS engineer dropped an amazing example using LlamaIndex Workflows with Next.js + Tailwind CSS, featuring Qdrant vector DB integration and OpenAI translation layer. Try it out | GitHub Repo | Learn More
- Webinar today - Agentic Document Processing with LlamaCloud: Join us as we share how the latest advancements in agentic document processing are unlocking a new era of better RAG and intelligent, context-aware AI agents. Register
✨ Framework:
- Enhanced Document Processing for Coding Agents: New strategies for integrating document understanding capabilities into coding agents through Model Context Protocol, enhanced CLI tools, and agentic workflow generation.
- TypeScript Workflows: Continued development and examples showcasing LlamaIndex TypeScript workflows for building sophisticated agent applications. See the updated docs here.
✍️ Community:
- Vector Space Day Berlin: Amazing energy and incredible turnout at Vector Space Day in Berlin, where our OSS engineer spoke about how you can leverage vector search to turn LlamaIndex AI workflow into context-rich AI systems adding a memory and stateful persistence layer. Her talk will be online soon!
- AI Engineer Paris: Our Developer Relations Engineer was at AI Engineer Paris, talking about our open-source alternative to NotebookLM, built with LlamaIndex. Stay tuned for the recording of her talk!
