Dify

Dify is an open-source LLMOps platform AImed at teams that want to move from experimenting with large language models to running working AI applications. It combines a visual builder, retrieval over your own documents, and Operational tooling in one web-based environment, so product and engineering staff can assemble assistants and Agents without writing every component from scratch.

What it does

Dify provIDEs a workspace for DeFining Prompts, connecting foundation models from multiple providers, and grounding answers in internal knowledge through retrieval-augmented generation. Instead of treating the model as a black box, it exposes configuration, logs and evaluation so teams can see how an APPlication behaves and refine it over time.

Key capabilities

• Visual app builder: create Chat Assistants, text generators and agent-style applications through a graphical interface.
• Knowledge and retrieval: upload documents to build searchable knowledge bases that Inform model responses.
• Agent and Workflow design: chain models with tools, conditions and external services to handle multi-step tasks.
• Model flexibility: connect a range of commercial and self-hosted model providers, subject to availability.
• Operations and observability: review logs, annotate ouTPUts and monitor usage to support ongoing improvement.
• API access: publish applications for use by other systems and internal tools.
• Self-hosting option: deploy the platfORM on your own infrastructure for greater data control.

Who it is for

Dify suits startups and Enterprise teams building customer support assistants, internal knowledge search, document question answering and automated business processes. developers appreciate the API and self-hosting path, while less technical users can work inside the visual editor. Organizations with strict data governance requirements often favor it because they can keep deployment and Knowledge Bases under their own control.

How to get started

1. Sign up on the hosted service or deploy the open-source edition on your own servers.
2. Connect a model provider and confirm credentials work.
3. Create an application and choose a template or start from a blank canvas.
4. Add knowledge sources if retrieval is needed, then test prompts in the built-in preview.
5. Wire in tools or workflow steps for agent-style behavior.
6. Review logs, refine outputs, and publish via API or share the app with your team.

Pricing and access caveat

Dify offers an open-source edition and hosted plans. ExACT plan tiers, quotas and model costs may change, so confirm current pricing and usage liMITs on the official site before committing. Self-hosting requires infrastructure and maintenance resources. Model access is also governed by each provider's terms, so availability and costs may vary.