Topic
LlamaIndex Agents & Tool Use
13 posts on llamaindex agents & tool use — part of framework tutorials on the n4n AI blog.
Multi-agent workflows in LlamaIndex explained
A practical guide to building multi-agent workflows in LlamaIndex with AgentWorkflow, covering communication patterns, state management, and production pitfalls.
Debugging LlamaIndex agent tool calls
A step-by-step guide to debugging LlamaIndex agent tool calls with logging, callbacks, and trace inspection.
LlamaIndex QueryEngineTool: turning RAG into a tool
Learn to wrap LlamaIndex query engines as tools for agents, with working patterns for multi-index routing, metadata filtering, and error handling.
LlamaIndex OpenAIAgent with n4n.ai function calling
Build a LlamaIndex OpenAIAgent that routes function calls through n4n.ai with automatic provider fallback and per-token metering.
LlamaIndex AgentWorkflow for multi-step tasks
Build multi-step LLM agents with LlamaIndex AgentWorkflow — prerequisites, step-by-step implementation, and runnable code for production workflows.
LlamaIndex agents with Claude 3.5 Sonnet on n4n.ai
Build a LlamaIndex agent with Claude 3.5 Sonnet using n4n.ai's OpenAI-compatible endpoint — complete with tool use, streaming, and fallback handling.
LlamaIndex agents vs LangChain agents compared
A practitioner's head-to-head comparison of LlamaIndex and LangChain agent architectures, tool use patterns, memory models, and ecosystem trade-offs — with a clear verdict by use case.
LlamaIndex agent memory and state management
A practical guide to implementing memory and state management in LlamaIndex agents, covering chat buffers, vector memory, persistence patterns, and common production pitfalls.
LlamaIndex FunctionAgent tool calling explained
A practical llamaindex functionagent tool calling tutorial: build agents with function tools, handle schemas, streaming, and avoid common pitfalls.
Give a LlamaIndex agent custom Python tools
A practical llamaindex custom tools tutorial: build Python functions, wrap them as tools, and wire them into a LlamaIndex agent that calls them reliably.
Connect LlamaIndex agents to external APIs
Step-by-step llamaindex agents external api tutorial: build LlamaIndex agents that call real HTTP APIs as tools, with runnable Python code and verification.
Build a research agent in LlamaIndex with n4n.ai
Learn to build a LlamaIndex research agent that queries external APIs and local data, using n4n.ai as an OpenAI-compatible LLM gateway.
Build a LlamaIndex ReAct agent with n4n.ai
Step-by-step llamaindex react agent tutorial: build a ReAct agent with custom tools using LlamaIndex and an OpenAI-compatible LLM gateway with runnable code.
More topics in framework tutorials
- Building Chatbots with Vercel AI SDK & Next.js15
- LangChain RAG with Vector Databases15
- LangGraph Multi-Agent Workflows15
- LlamaIndex Query Engines for RAG15
- AutoGen Multi-Agent Conversations & Group Chat14
- Choosing an AI Framework by Use Case14
- CrewAI Agent Roles & Task Design14
- CrewAI Real-World Crew Examples14
- Haystack RAG Pipelines14
- LangChain Agents & Tool Calling14
- LangChain Multi-Model Fallback & Routing14
- LangChain.js for Node & TypeScript14