Langflow is an open-source tool to build and deploy AI pipelines and Model Context Protocol (MCP) servers. It supports important AI functionality like agents and the Model Context Protocol (MCP), and it doesn't require the use of specific large language models (LLMs) or vector stores.
EDB ships Langflow in Hybrid Manager with two additions on top of upstream:
- EDB components: a set of Langflow components in the EDB folder that connect flows to HM-managed resources (knowledge bases, vector indexes, databases, model server clusters, local
aidbmodels, and HM platform tools). - Flow deployment: a publishing and deployment lifecycle for turning flows into long-running, callable services hosted on HM.
Prerequisites
Before using EDB components in Langflow, you need the required HM roles and an access key. You can manage users and permissions in the HM console.
Roles:
EDB Embeddings and EDB Model Server require the AI Model Manager role at organization level:
- Profile > User management > Assign Organization Roles > AI Model Manager.
EDB Knowledge Base, EDB Database, EDB Vector Index, EDB Embedded Models, and EDB Airman MCP require the Project Viewer role on the project that owns the relevant cluster:
- Project > Users > Assign Project Roles > Project Viewer.
EDB Platform does not require a specific HM role assignment. It uses the identity of whoever is running the flow — the logged-in user in the flow builder, or the caller's identity in a deployed flow. Tool calls execute with that identity's permissions.
Access key:
- Create an access key by creating a machine user or via the My Account option in your profile. Store it in Langflow as a Global Variable named
HM_API_KEYso EDB components pick it up automatically.
What's next
- Quickstart: Build your first RAG flow in Langflow on Hybrid Manager.
- EDB components: Reference for each component in the EDB folder, with prerequisites, fields, and usage.
- Using models in Langflow: How to consume EDB-hosted model endpoints from Langflow flows.
- Flow deployment: Publish a bundle of flows, deploy published flows, and access deployed flows.
- Templates: Pre-built flow templates for common Hybrid Manager workflows.
- FAQ: Common questions about building, configuring, and operating Langflow flows.
- Troubleshooting: Diagnostic steps and fixes for common issues with Langflow flows and EDB components.
Quickstart
Build your first AI flow in Langflow on Hybrid Manager — connect a knowledge base and a model to answer questions from your own data.
EDB components
Reference for the EDB-provided Langflow components that connect flows to Hybrid Manager resources.
Using models
How to consume EDB-hosted model endpoints from Langflow flows in Hybrid Manager using the EDB Model Server and EDB Embeddings components.
Flow deployment
Publish Langflow flows as immutable asset-library bundles, deploy them as managed workloads in Hybrid Manager, and invoke them over HTTP or MCP.
Templates
Pre-built Langflow templates for common Hybrid Manager workflows.
Security
How Langflow on Hybrid Manager handles credentials across the flow builder, published bundles, and deployed flows, and how deployed flows reach models in air-gapped environments.
FAQ
Common questions about building, configuring, and operating Langflow flows in Hybrid Manager using EDB components.
Troubleshooting
Diagnostic steps and fixes for common issues with Langflow flows and EDB components in Hybrid Manager.