LlamaIndex Agents
by LlamaIndex
Data-focused framework for building RAG applications with real-time retrieval and agent capabilities.
Overview
LlamaIndex Agents extends the popular LlamaIndex data framework with sophisticated agent capabilities, enabling the creation of intelligent systems that can query, analyze, and reason over large datasets in real-time. It specializes in retrieval-augmented generation (RAG) and knowledge-based applications.
Key Statistics
Overall Rating
3.8/5
GitHub Stars
36,800
Last Updated
2025-01-12
Version
0.11.20
Features
Data Connectors
Connect to 100+ data sources and formats
Advanced RAG
State-of-the-art retrieval augmented generation
Multi-modal Support
Handle text, images, audio, and structured data
Agent Orchestration
Intelligent agents that can reason over data
Real-time Updates
Live data synchronization and updates
Evaluation Framework
Built-in RAG evaluation and optimization
Getting Started
Installation
pip install llama-index
Quick Start
Load your first documents and create a knowledge agent
Code Example
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
docs = SimpleDirectoryReader('data').load_data()
index = VectorStoreIndex.from_documents(docs)
query_engine = index.as_query_engine()Pros & Cons
Advantages
Excellent data integration
Advanced RAG capabilities
Strong evaluation framework
Multi-modal support
Active development
Good documentation
Limitations
Can be complex for simple use cases
Requires understanding of RAG concepts
Performance tuning needed for large datasets
Limited visual interface
Technical Details
Primary Language
Python
Supported Languages
License
MIT
Enterprise Ready
Yes
Community Size
Large
Pricing
Open Source
Starting at $99/month
Open source with LlamaCloud hosting and enterprise features
Performance Metrics
easeOfUse
3/5
scalability
4/5
documentation
4/5
community
4/5
performance
4/5
Common Use Cases
Enterprise Knowledge Bases
Document Q&A Systems
Research Assistants
Data Analysis Agents
Customer Support Knowledge
Technical Documentation Search