LlamaIndex
@llamaindex.bsky.social
1.1K followers 80 following 520 posts
Build AI agents over your documents
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llamaindex.bsky.social
⚙️ Extraction - Using LLMs to pull specific fields and entities with schema validation. Ideal for extracting specific info for downstream tasks.

Read the full technical guide 👉www.llamaindex.ai/blog/parse-...
llamaindex.bsky.social
🔍 Parsing - Converting unstructured documents into structured markdown while preserving layout, tables, and formatting. Perfect for applications where you need full document context.
llamaindex.bsky.social
📄 Parse vs. Extract: Two Fundamental Approaches to Document Processing

Building document agents? Knowing when to parse versus when to extract is fundamental to getting your architecture right.

In this deep dive, @tuana.dev breaks down:
llamaindex.bsky.social
LlamaAgents gives you one-click deployment with 90% ready-to-use templates for invoice processing, contract review, and technical document analysis workflows.
👉 Join the LlamaAgents waitlist: landing.llamaindex.ai/llamaagents...
LlamaAgents Early Access: Build, Ship, and Deploy document agents in minutes.
landing.llamaindex.ai
llamaindex.bsky.social
Extract power output, efficiency, temperature coefficients, and certifications from vendor PDFs, then automatically validate against your design requirements

Ready to deploy production document agents?
llamaindex.bsky.social
🔄 Event-driven agent architecture with LlamaIndex Workflows
📊 Structured extraction with LlamaExtract + custom Pydantic schemas
🤖 Multi-step agent coordination: parse → extract → compare → report
✅ Automated validation against technical specifications

Real-world use case:
llamaindex.bsky.social
⚡ Building Agentic Workflows for Technical Document Analysis

Check out our new end-to-end example: an agentic workflow that extracts structured data from solar panel datasheets and automatically generates compliance reports against design requirements.
llamaindex.bsky.social
LlamaParse now supports Anthropic Claude Sonnet 4.5, plus exciting new features for enhanced document processing!

We've integrated Sonnet 4.5 into our parsing capabilities, giving you access to Anthropic's latest model for even better document understanding and parsing.
llamaindex.bsky.social
Build a full-stack website powered by a LlamaIndex agent in minutes with AG-UI from CopilotKit and Composio!

This full-featured template application for building Agent apps get you up and running in no time!

Check out the repo here:
github.com/CopilotKit/...
llamaindex.bsky.social
The combination of existing Unix tools plus semantic search capabilities can often replace more complex RAG setups while being faster to implement and more flexible to use.
llamaindex.bsky.social
📊 Complex cross-referencing and temporal analysis tasks showed the biggest improvement with semantic search tools
🛠️ SemTools adds parse (via LlamaParse) and semantic search capabilities directly to command-line agents like @claudeai Code and Gemini CLI
llamaindex.bsky.social
🔍 Agents with semantic search provided more detailed, comprehensive answers across all question types
⚡ CLI-based approach proves incredibly powerful relative to the effort - Unix tooling gives agents grep, find, and file system navigation out of the box
llamaindex.bsky.social
We tested whether coding agents with CLI tools are all you need for complex document search and analysis tasks 🧪

Our new SemTools benchmark used 1000 @arxiv papers to compare agents with and without semantic search capabilities:
llamaindex.bsky.social
🔧 Built for infinite extensibility unlike rigid SaaS agents - adapt workflows to your business logic, not the other way around
⚡ Free your team from routine document processing to focus on higher-value work

Join the early access waitlist and be among the first to build with LlamaAgents:
llamaindex.bsky.social
🚀 90% ready-to-use templates powered by LlamaIndex, LlamaExtract, and LlamaCloud Index get you from idea to deployed agent in minutes
☁️ Deploy anywhere - use our managed cloud or bring your own infrastructure with headless, single-click deployments
llamaindex.bsky.social
LlamaAgents help you deploy document agents with a single click! Automate document-centric tasks like invoice processing, contract review, and claims handling without the typical months-long development cycle:
llamaindex.bsky.social
Build and ship document agents 10× faster 🚀

We have some great news! LlamaAgents are here, and we're opening it up to early access for a small group of users to start trying!
llamaindex.bsky.social
Perfect for developers who want to move beyond simple chatbots and build agents that can handle multi-step processes with proper oversight and deployment infrastructure.
llamaindex.bsky.social
Build a complete agent system from scratch, starting with basic tool calling and progressing to sophisticated state management and human oversight. You'll work with OpenAI APIs and see how our workflow system handles complex agentic patterns with clean, readable TypeScript code.
llamaindex.bsky.social
🚀 Deploy your agent to an Express server for real-world usage