01
Visual Canvas
Drag-and-drop interface for building AI workflows. See the entire pipeline at a glance. Debug visually.
← The Workbench
LANGFLOW
Build AI pipelines visually.
A drag-and-drop builder for LLM applications — connect models, data sources, and tools, and ship RAG pipelines and agent workflows without writing glue code. Runs governed and isolated inside your Workbench, ready for production.
AI pipelines shouldn’t require a PhD in prompt engineering.
VISUAL BUILDER
Building AI applications usually means stitching together APIs, managing prompts, handling context windows, and writing retry logic. For every new app, you rewrite the same fragile infrastructure code.
Langflow makes it visual. Drag components onto a canvas, connect them, test and iterate, deploy when ready. And because it runs inside Calliope AI, Zentinelle policies govern which components can be used, secrets are managed centrally, and every change and execution is audited.
From simple chains to complex agent systems.
- RAG pipelines — Connect documents, vector stores, and LLMs. Retrieval-augmented generation made simple.
- Agent workflows — Build multi-step agent systems with tool use, memory, and conditional logic.
- Chatbot applications — Customer service bots, internal assistants, knowledge base interfaces.
- Data processing — Transform, enrich, and analyze data with AI in the loop.
- API integrations — Connect to external services, databases, and internal tools.
- Evaluation pipelines — Test prompts, compare models, measure performance.
Langflow Capabilities
02
Instant Testing
Test pipelines in real-time as you build. Iterate quickly. See results immediately.
03
One-Click Deploy
Export to API endpoints, embed in applications, or run on schedule. Production-ready deployment.
What teams build with Langflow.
Retrieval-augmented generation (RAG)
Connect document loaders to vector stores to LLMs. Build knowledge bases that answer questions from your documents with context-aware responses.
Customer service automation
Build chatbots that understand context, retrieve relevant information, and escalate appropriately. Connect to your CRM, knowledge base, and support systems.
Content generation
Create pipelines that generate, review, and refine content with human-in-the-loop approval. Multi-stage workflows for docs, posts, or marketing copy.
Agent systems
Build multi-step agents that use tools, maintain memory, and make decisions. Complex workflows with conditional logic, loops, and branching.
Langflow vs. writing code.
Langflow doesn't replace code — it removes the boilerplate infrastructure code. Complex logic, custom components, and specialized processing still benefit from code. But for standard AI pipeline patterns, Langflow gets you there faster.
Think of it as the difference between writing SQL and using a visual query builder: both have their place. Langflow makes the common cases fast while preserving the option to drop into code when you need to go deeper.
