Llamaindex multi agent. May 12, 2024 · Agent Architecture In LlamaIndex an agent consists of two components: AgentRunner AgentWorkers The AgentRunner objects interfaces with the AgentWorkers. Check out the repo to learn more, especially our library of examples. Multi-agent patterns in LlamaIndex When more than one specialist is required to solve a task you have several options in LlamaIndex, each trading off convenience for flexibility. Multi-Agents using Workflows . Contribute to run-llama/multi-agents-workflow development by creating an account on GitHub. AgentRunners are orchestrators which store . Mar 7, 2025 · Considering LlamaIndex’s high maturity and community involvement, the release of LlamaIndex AgentWorkflow caught our attention. So, my team and I studied it for a month and found that for practical applications, AgentWorkflow is a nearly perfect multi-agent orchestration solution. Manual Agents While the agent classes like FunctionAgent, ReActAgent, CodeActAgent, and AgentWorkflow abstract away a lot of details, sometimes its desirable to build your own lower-level agents. Oct 29, 2024 · Learn how to build a sophisticated multi-agent system using LlamaIndex to generate high-quality Anki flashcards. This tutorial guides you through the process of creating a modular and robust framework, from a basic single-agent setup to a complex orchestrated system. By combining OpenAI-powered agents with real-time tools and structured memory, you'll learn to create collaborative systems that can research, write, and review complex tasks, unlocking the full potential of GenAI beyond single-prompt interactions. This is only one way to build multi-agent systems. Read on to learn more about multi-agent systems. This is an extension of V0 multi-document agents with the additional features: Reranking during document (tool) retrieval Query planning tool that the agent can use to plan We do this with the following architecture: Apr 22, 2025 · In this hands-on guide, explore how to build a modular, intelligent multi-agent workflow using LlamaIndex. This approach ensures modularity, allowing independent development, testing, and maintenance. Multi-Document Agents (V1) In this guide, you learn towards setting up a multi-document agent over the LlamaIndex documentation. Apr 1, 2024 · When employing agents with LlamaIndex, creating separate tools for each function is essential. Jun 26, 2024 · Dive in! llama-agents provides a powerful, flexible framework for building complex multi-agent AI systems. This is an extension of V0 multi-document agents with the additional features: Reranking during document (tool) retrieval Query planning tool that the agent can use to plan We do this with the following architecture: setup a "document agent" over each Document: each Jul 17, 2024 · LlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data. This page walks through the three most common patterns, when to choose each one, and provides a minimal code sketch for every approach. Using this example, you can plug in your own agents and tools to build your own multi-agent system, or hack and extend the underlying code to suit your needs. Using the LLM objects directly, you can quickly implement a basic agent loop, while having full Multi-agent concierge system This repo contains an implementation of a multi-agent concierge system using LlamaIndex's Workflows abstraction. Feb 12, 2025 · Explore how to build a Multi-Agent Workflow for automated research, writing, and reviewing with AI-driven agents and workflows. Whether you're prototyping a new idea or scaling to production, llama-agents offers the tools you need to bring your AI vision to life. vxl mkcag bbdwoi vruym tufuc okkxne eqynu xamma fzhl cstho