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RRAG Graph

Graph-based agent orchestration system built on the RRAG framework.

Overview

RGraph provides a powerful graph-based orchestration layer for building complex AI agent workflows. It enables developers to create sophisticated multi-agent systems with conditional routing, parallel execution, and state management.

Features

Graph-Based Workflows: Define agent interactions as directed graphs
Conditional Routing: Dynamic path selection based on runtime conditions
Parallel Execution: Run multiple agents concurrently for improved performance
State Management: Thread-safe state handling across agent executions
Tool Integration: Seamless integration with RRAG's tool ecosystem
Observability: Built-in monitoring and tracing capabilities
Type Safety: Rust's type system ensures correctness at compile time

Quick Start

use rrag_graph::prelude::*;

// Create a graph with agents
let graph = GraphBuilder::new()
    .add_node("agent1", AgentNode::new("Assistant 1"))
    .add_node("agent2", AgentNode::new("Assistant 2"))
    .add_edge("agent1", "agent2")
    .build()?;

// Execute the graph
let result = graph.execute(initial_state).await?;

Installation

Add to your Cargo.toml:

[dependencies]
rrag-graph = "0.1.0-alpha.1"

Documentation

For detailed documentation, visit docs.rs/rrag-graph.

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please see our Contributing Guide.

rexis-graph 0.1.0