Vibe-Code a Document Agent with LlamaAgents

LlamaIndex · Intermediate ·🤖 AI Agents & Automation ·4mo ago

Key Takeaways

The video demonstrates how to use LlamaAgent Builder to create an end-to-end agent workflow, specifically an agent that splits a resume book into individual resumes and extracts key information, using LlamaAgents and LlamaCloud.

Original Description

In this video, Senior DevRel Enginner Tuana Celik walks through how to use LlamaAgent Builder to create an end-to-end agent workflow. The example here is an agent that can split up a resume book into individual resumes and extract key resume information per resume. 🏆 Join the Agent Builder contest for a limited time on LlamaCloud!: https://cloud.llamaindex.ai/ 💬 Chat with Agent Builder about the document agent you want 🧠 Builder codes up the most appropriate agent workflow for you 💻 Deploy the final agent to the cloud 🤝 The code is yours to edit!
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 2 LlamaIndex + MongoDB Workshop/Fireside Chat
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 3 Discover LlamaIndex: Ask Complex Queries over Multiple Documents
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 12 LlamaIndex Webinar: LLMs for Investment Research (with Didier Lopes, co-founder/CEO at OpenBB)
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 13 Discover LlamaIndex: Bottoms-Up Development With LLMs (Part 1, LLMs and Prompts)
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 14 Discover LlamaIndex: Bottoms-Up Development With LLMs (Part 2, Documents and Metadata)
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 15 Discover LlamaIndex: Key Components to build QA Systems
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 16 Discover LlamaIndex: Bottoms-Up Development with LLMs (Part 3, Evaluation)
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 19 Discover LlamaIndex: Custom Retrievers + Hybrid Search
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 20 LlamaIndex Webinar: Document Metadata and Local Models for Better, Faster Retrieval
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 21 LlamaIndex Webinar: Build Personalized AI Characters with RealChar
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 22 LlamaIndex Webinar: Make RAG Production-Ready
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 23 LlamaIndex Workshop: Building RAG with Knowledge Graphs
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 24 Discover LlamaIndex: Introduction to Data Agents for Developers
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 25 LlamaIndex Webinar: Finetuning + RAG
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 26 Discover LlamaIndex: SEC Insights, End-to-End Guide
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 28 LlamaIndex Sessions: Building a Lending Criteria Chatbot in Production
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 29 Discover LlamaIndex: Bottoms-Up Development with LLMs (Part 5, Retrievers + Node Postprocessors)
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 30 LlamaIndex Webinar: How to Win a LLM Hackathon
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 31 LlamaIndex Webinar: LLM Challenges in Production (w/ Mayo Oshin, AI Jason, Dylan from Starmorph)
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 32 LlamaIndex Webinar: Agents Showcase!
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 33 LlamaIndex Webinar: Learn about DSPy
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 34 LlamaIndex Webinar: Time-based retrieval for RAG (with Timescale)
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 35 LlamaIndex Webinar: Build/Break/Test LLM Apps Showcase (co-hosted with TrueEra, Pinecone)
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 36 LlamaIndex Workshop: Evaluation-Driven Development (EDD)
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 37 LlamaIndex Webinar: Building LLM Apps for Production, Part 1 (co-hosted with Anyscale)
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 38 LlamaIndex Webinar: Learn about Fine-tuning + RAG (w/ Victoria Lin, author of RA-DIT)
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 39 LlamaIndex Webinar: What's next for AI after OpenAI Dev Day?
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 40 Introducing create-llama
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 41 LlamaIndex Webinar: PrivateGPT - Production RAG with Local Models
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 42 Multi-modal Retrieval Augmented Generation with LlamaIndex
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 43 LlamaIndex Webinar: LLaVa Deep Dive
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 45 LlamaIndex Workshop: Multimodal + Advanced RAG Workhop with Gemini
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 46 LlamaIndex Webinar: Efficient Parallel Function Calling Agents with LLMCompiler
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 47 Introduction to Query Pipelines (Building Advanced RAG, Part 1)
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 48 LLMs for Advanced Question-Answering over Tabular/CSV/SQL Data (Building Advanced RAG, Part 2)
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 49 LlamaIndex Webinar: Advanced Tabular Data Understanding with LLMs
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 51 Build Agents from Scratch (Building Advanced RAG, Part 3)
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 56 Introducing LlamaCloud (and LlamaParse)
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 57 LlamaIndex Sessions: 12 RAG Pain Points and Solutions
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 58 LlamaIndex Webinar: RAG Beyond Basic Chatbots
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 60 LlamaIndex Webinar: RAPTOR - Tree-Structured Indexing and Retrieval
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This video teaches how to use LlamaAgent Builder to create an end-to-end agent workflow for document processing, specifically for splitting a resume book into individual resumes and extracting key information. The workflow can be deployed to the cloud and edited as needed.

Key Takeaways
  1. Join the Agent Builder contest on LlamaCloud
  2. Chat with Agent Builder about the desired document agent
  3. Builder codes up the most appropriate agent workflow
  4. Deploy the final agent to the cloud
  5. Edit the agent code as needed
💡 Using LlamaAgent Builder simplifies the process of creating complex agent workflows for document processing tasks, such as resume extraction.

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