AI Workflow Builders - Visual drag-and-drop platform for designing, testing, and deploying AI agent workflows with custom nodes and tools.
Agent Pipeline Designers - Ships a visual drag-and-drop interface for designing, running, and iterating on agent workflows.
Agentic Workflow Construction - Supports cyclic workflow graphs for iterative tool calling and agent reasoning loops.
Visual Editors - Provides a visual drag-and-drop editor for designing and testing multi-step AI agent workflows.
AI Model Integrations - Provides unified nodes connecting to multiple AI vendors and tools for rapid model comparison.
Multi-Vendor Switching Interfaces - Ships unified nodes that let users switch between AI vendors to compare performance without reconfiguring.
Visual Designers - Provides a visual playground for rapid prototyping of AI agent workflows.
Document Grounding - Retrieves relevant information from user-uploaded documents and provides it as context to AI models.
Retrieval-Augmented Generation - Passes queries through a retriever node to fetch relevant document chunks for grounded LLM responses.
Conversational Session Management - Maintains per-user conversation history across multi-turn interactions by storing session data tied to workflow runs.
Workflow API Endpoints - Exposes workflows as REST endpoints that accept input and return results for external integration.
Human Approval - Pauses workflow execution at designated breakpoints for human review and approval.
Ingestion Pipelines - Ingests files, extracts text, splits into chunks, and stores each chunk with source metadata for search.
Multi-Model AI Orchestrators - Unified nodes that connect to multiple AI providers for rapid model switching and performance comparison.
