LlamaIndex Newsletter 2024-01-07

Hello, LlamaIndex Enthusiasts! 🦙

Welcome to this week’s edition of the LlamaIndex newsletter! This week's newsletter is brief due to the holiday break, but it still packs valuable insights. Highlights include in-depth guides on automating invoice processing with LlamaParse and LlamaCloud, covering use cases like matching line items to SKUs, creating payment plans, mapping expenses to cost centers, and standardizing units. We also explore building conversational voice assistants using RAG over 1M+ PDFs and optimizing RAG for financial reports to boost efficiency. Plus don’t miss the latest tutorials from our vibrant 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.

🤩 The Highlights

• Automate Invoice Processing: Use agentic workflows to make invoice handling easier and faster:
  • Match line items with SKUs. Notebook
  • Create payment plans. Notebook
  • Map spending to cost centers. Notebook
  • Standardize units. Notebook
• Build Conversational Voice Assistants: Create voice assistants using RAG with over 1M+ PDFs. Combine LlamaCloud processing with ElevenLabs and Fly.io for smooth performance. Tweet.
• Optimize RAG for Financial Reports: Use LlamaParse auto-mode to process financial reports efficiently, switching to Premium mode only for complex pages. Tweet.

🗺️ LlamaCloud And LlamaParse:

• Automate invoice processing with agentic workflows combining RAG, extraction, and structured generation for efficient and scalable solutions. Explore these use cases:
  • Match line-items to relevant SKUs - Notebook
  • Generate a payment plan - Notebook
  • Map spend categories to cost centers - Notebook
  • Standardize units - Notebook
• Guide to building conversational voice assistants with RAG over 1M+ PDFs. Integrate LlamaCloud document processing with ElevenLabs conversational tools and use Fly.io to serve the LlamaCloud retrieval API for seamless performance. Tweet.
• Guide to building an optimized RAG pipeline for financial reports using LlamaParse auto-mode, it dynamically selects the advanced Premium mode only for pages with complex tables and images, ensuring top-quality processing at the lowest cost. Tweet.

✨ Use Case:

• Neomagus is a tool for verifying legal references in AI-generated content. It extracts citations, cross-checks them against verified legal texts, and provides color-coded feedback for accuracy. This award-winning project by Eliot Goutin et al., from the LLM x Law hackathon, ensures reliability in AI-driven legal research. Tweet.

💡 Tutorials:

• Fahd Mirza's video tutorial to generate reports from PDF docs with AI Agents using Llama Cloud
• Akshay Pachaar's tutorial on building a Llama-3.2-powered app that can answer questions over complex Excel tables using LlamaIndex.