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LlamaIndex Agents

by LlamaIndex

Data framework for LLM applications with powerful agents

LlamaIndex is a data framework for LLM applications that excels at ingesting, structuring, and accessing private data. Its agent capabilities combine data retrieval with reasoning for sophisticated RAG and data analysis applications.

Docs

Ease of Use

8/10

Community

9/10

Performance

8/10

Documentation

9/10

🎯 Key Features

Advanced data ingestion

Query engines

ReAct agents

OpenAI agents

Tool abstractions

Multi-document agents

Sub-question query engine

Router agents

Strengths

Best-in-class data ingestion

Excellent for RAG applications

Strong query optimization

Great documentation

Active community

LlamaHub ecosystem

Limitations

More complex for simple tasks

Data-centric focus

Learning curve for advanced features

Less suitable for non-data tasks

Best For

RAG applications
Document Q&A systems
Knowledge base agents
Data analysis agents
Multi-document reasoning

Not Recommended For

Simple chatbots without data
Non-retrieval tasks
Real-time conversational agents
Code generation focus