# Dify: workflows, use cases, and stacks

> Open-source platform for building LLM apps, RAG knowledge bases, agents, and AI workflows.

- Canonical: https://gptnavi.com/tools/dify
- Official website: https://dify.ai
- Category: AI app builder
- Pricing model: Open source
- Has free plan: Yes
- Last materially updated: 2026-08-19
- Best for: Automation builders, Technical teams, Operations
- Tags: ai-apps, rag, workflow

## Quick answer

Dify is a open source ai app builder option best suited to Automation builders, Technical teams, Operations. In the GPTNavi catalog it connects to 5 workflows and 5 compatible stacks.

## Workflows using Dify

- [Build an internal AI assistant from company docs](https://gptnavi.com/workflows/internal-ai-assistant-from-company-docs) — Create a simple internal assistant that answers team questions from SOPs, policies, help docs, and product knowledge.
- [Automated lead qualification workflow](https://gptnavi.com/workflows/automate-lead-intake-and-qualification) — Collect leads, score fit, route qualified opportunities, and send personalized next-step messages.
- [Create a practical AI adoption playbook for a small team](https://gptnavi.com/workflows/small-team-ai-adoption-playbook) — Map team tasks, identify AI use cases, choose tools, define guardrails, and create a 30-day rollout plan.
- [Turn support tickets into a product backlog](https://gptnavi.com/workflows/support-triage-to-product-backlog) — Cluster tickets, identify root causes, draft better replies, and create product backlog items from recurring pain.
- [Prepare messy documents for a RAG knowledge base](https://gptnavi.com/workflows/messy-documents-to-rag-knowledge-base) — Parse messy docs, clean chunks, choose a vector database, and create a testable retrieval workflow.

## Compatible stacks

- [AI Automation Builder Stack](https://gptnavi.com/stacks/ai-automation-builder-stack) — A builder stack for teams that want to connect forms, spreadsheets, documents, AI agents, and internal workflows without creating a full software product.
- [Team AI Adoption Stack](https://gptnavi.com/stacks/team-ai-adoption-stack) — A practical stack for small teams that want to adopt AI safely, document workflows, train employees, and build internal assistants.
- [Customer Support Intelligence Stack](https://gptnavi.com/stacks/customer-support-intelligence-stack) — A stack for turning tickets, chats, help docs, and product feedback into better support answers and product backlog items.
- [AI Data and RAG Builder Stack](https://gptnavi.com/stacks/ai-data-rag-builder-stack) — A technical stack for preparing messy documents, web data, retrieval stores, and AI workflows for useful internal assistants.
- [AI Agent Operations Stack](https://gptnavi.com/stacks/ai-agent-operations-stack) — A practical stack for turning recurring tasks into monitored AI agent workflows with approval, logging, and exception handling.

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