LlamaIndex
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llamaindex.bsky.social
LlamaIndex
@llamaindex.bsky.social
Build AI agents over your documents
By integrating LlamaParse, they eliminated bottlenecks that were directly limiting customer growth and built future-proof infrastructure that automatically improves over time.
November 11, 2025 at 5:00 PM
🎯 Free up engineering time from maintenance to focus on building new product features

@pathwork's Case Underwriter, Knowledge Assistant, and Pre-App Manager products all rely on transforming unstructured insurance documentation into structured data for faster decision-making.
November 11, 2025 at 5:00 PM
🤖 Automatically extract and index carrier underwriting guidelines to keep risk rules current
⚡ Replace fragile, manual pipelines with robust automation that handles everything from digital forms to 1970s faded scans
November 11, 2025 at 5:00 PM
We're teaming up with our friends at @browserbase, @usebraintrust, and @modal_labs to host the most fun you'll have all conference. After your evening sessions, meet us for cocktails, networking, and the kind of tech chatter that makes re:Invent legendary.
November 10, 2025 at 10:00 PM
🤖 Connect with the teams behind @browserbase, @braintrust, @modal_labs, and LlamaIndex
🌙 Late-night tech conversations when the conference sessions end
🎟️ Limited spots with approval-required registration
November 10, 2025 at 10:00 PM
🦙 Get started with all our LlamaCloud services now: https://cloud.llamaindex.ai?utm_source=bsky&utm_medium=li_social
📚 Learn more about our agent workflows: developers.llamaindex.ai/python/llam...
⭐ Star the repo on GitHub: github.com/AstraBert/f...
GitHub - AstraBert/financial-team-agent: Send your invoices and expenses via email, let AI handle them
Send your invoices and expenses via email, let AI handle them - AstraBert/financial-team-agent
github.com
November 7, 2025 at 5:25 PM
👉 Receives emails with documents attached
👉 Classifies the attachments as invoices or expenses using LlamaClassify
👉 Extracts the information through LlamaExtract
👉 Writes an email reply and sends it back to the user
All of this is packaged as an agent workflow and deployed through our LlamaAgents!🚀
November 7, 2025 at 5:25 PM
Beynd OCR: How AI Agents Parse Complex Docs
landing.llamaindex.ai
November 7, 2025 at 3:00 PM
We'll show you how to move beyond simple text extraction to actually automate understanding of documents with multi-column layouts, embedded charts, skewed scans, and tables within tables.
November 7, 2025 at 3:00 PM
🤖 Latest LlamaCloud capabilities showing how vision language models automate extraction from previously unparseable PDFs, forms, and images
⚡ When to apply each component in your parsing pipeline and why it matters
November 7, 2025 at 3:00 PM
📋 Blueprint for building next-generation document parsing workflows using agents instead of OCR alone
🔧 Practical strategies for handling handwriting, rotated scans, nested tables, and visually dense layouts
November 7, 2025 at 3:00 PM
Classify incoming documents → extract relevant data → apply business rules → take action.
Need to add a new document type? Add a classification rule and an extraction schema. Need different business logic? Modify the workflow steps. The components stay the same.
November 6, 2025 at 4:53 PM
3️⃣ Agent Workflows orchestrates the entire process. It connects classification to extraction to business logic: in this case, checking expenses against a budget threshold and generating appropriate email responses via LLM.
November 6, 2025 at 4:53 PM
2️⃣ LlamaExtract does the heavy lifting on data extraction. We create two specialized agents with different schemas for invoices vs expenses.
November 6, 2025 at 4:53 PM
1️⃣ LlamaClassify handles the first decision point. It looks at each attachment and determines: is this an invoice that needs to be paid out to a partner, or an expense that needs reimbursement? It also provides reasoning for the decision.
November 6, 2025 at 4:53 PM
In this example we build an agent that automatically triages incoming emails with attachments, extracts the right information, and takes appropriate action.

Our approach uses three of our tools working together:
November 6, 2025 at 4:53 PM
The architecture is : S3 → LlamaParse → MongoDB Atlas → LLM.

The recording is up now: www.youtube.com/watch?v=5mE...
From Documents to Insights Integrating LlamaParse with MongoDB for Scalable AI Pipelines
Discover how to build a scalable, real-time document processing pipeline that transforms PDFs, reports, and contracts into searchable, enriched data. Learn h...
www.youtube.com
November 5, 2025 at 5:04 PM