> ## Documentation Index > Fetch the complete documentation index at: https://kapso-1adbad2d.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Edges > Connecting nodes and defining conversational paths Edges connect nodes, defining the possible paths a conversation can take through your Agent Graph. They determine the flow logic and create structured conversational experiences. ### Functionality * **Connections:** Edges direct flow from a source node to a target node. * **Directionality:** Each edge has a specific direction, flowing from one node to another. * **Visual Representation:** Displayed as arrows on the Canvas. ### Conditional Edges A powerful feature of edges is the ability to add conditions, allowing for dynamic conversation paths based on context: * **Natural Language Conditions:** Write conditions in plain English that the agent will interpret. * **Context Awareness:** Conditions are evaluated based on the current conversation state, including user inputs and any variables. * **Multiple Paths:** When a node has multiple outgoing edges, the agent evaluates the condition associated with each edge after executing the source node's logic. * **Path Selection:** The agent will follow the outgoing edge whose condition evaluates to true. ### Examples **Example 1: Simple Conditional Routing** ``` Condition: User asks about pricing ``` **Example 2: Intent Detection** ``` Condition: User wants to track their order ``` **Example 3: Entity-Based Routing** ``` Condition: User mentions t-shirts or apparel ``` **Example 4: Complex Logic** ``` Condition: User is a returning customer AND is asking about premium products ``` ### Best Practices * **Clear Conditions:** Make conditions clear and distinct to avoid ambiguity * **Condition Testing:** Test conditions thoroughly with various user inputs * **Simplicity:** Keep conditions focused on a single concept when possible ## Building Complex Flows By combining nodes and conditional edges, you can build sophisticated conversation flows that adapt to user inputs and context. Consider these patterns: * **Decision Trees:** Use conditional edges to create branching paths based on user choices * **Information Collection:** Route through different nodes to gather specific information * **Error Handling:** Create paths for handling misunderstandings or invalid inputs * **Context Switching:** Allow users to change topics with edges that detect new intents ## Related Topics Learn about the different types of nodes Understand how agents process conversations