# LLMGraph

> LLMGraph is a low-to-no-code visual builder for LLM and AI workflows. Design pipelines as a graph — chaining LLM calls, document search (RAG), tools, and logic — on a drag-and-drop canvas, or describe what you want in chat and let LLMGraph build it. Deploy each workflow to a REST API endpoint and an embeddable chat widget in one click. No infrastructure to manage.

LLMGraph is built for developers and non-developers alike. Common uses: RAG chatbots over your own documents, customer support bots, and autonomous AI agents. Pricing is tiered (Hobby, Pro, Enterprise); every account starts with free model credits — no card required.

## Pages

- [Home](https://llmgraph.ai/): product overview, visual workflow builder demo
- [Pricing](https://llmgraph.ai/pricing): Hobby, Pro, and Enterprise tiers — start free with included model credits, no card required
- [Blog](https://llmgraph.ai/blog): guides on building AI workflows, RAG chatbots, support assistants, and AI agents
- [Contact](https://llmgraph.ai/contact): contact the team
- [Comparisons](https://llmgraph.ai/alternatives): how LLMGraph compares to Langflow, Flowise, and n8n for LLM workflows
- [Free Tools](https://llmgraph.ai/tools): free browser-based tools for LLM builders — price comparison, cost calculators, chunking, context windows, schemas, ROI

## Free Tools

- [LLM Price Comparison](https://llmgraph.ai/tools/llm-price-comparison): live table of every model's API prices with per-request cost for your workload
- [LLM Cost Calculator](https://llmgraph.ai/tools/llm-cost-calculator): free tool to estimate LLM API spend from token counts and request volume
- [RAG Cost Calculator](https://llmgraph.ai/tools/rag-cost-calculator): full RAG pipeline costs — embeddings, vector storage, and generation
- [RAG Chunking Visualizer](https://llmgraph.ai/tools/rag-chunking-visualizer): paste a document and see chunk size, overlap, and strategy applied live
- [LLM Context Window Comparison](https://llmgraph.ai/tools/context-window-comparison): count tokens in any text and check which models it fits
- [Tool Call & MCP Schema Builder](https://llmgraph.ai/tools/llm-tool-schema-builder): build function-calling JSON Schema for OpenAI, Anthropic, and MCP
- [AI Chatbot ROI Calculator](https://llmgraph.ai/tools/chatbot-roi-calculator): estimate support savings from deflection rate and ticket volume
- [Integrations](https://llmgraph.ai/integrations): connect LLMGraph workflows to Shopify, WordPress, Zapier, Make, n8n, MCP, GitHub Actions, Slack, and Discord

## Integrations

- [Shopify](https://llmgraph.ai/integrations/shopify): add an AI chat assistant to any Shopify store with one script tag, no App Store install, works on every plan
- [WordPress](https://llmgraph.ai/integrations/wordpress): WordPress plugin that embeds the chat widget and keeps the API key server-side via a proxy

## Comparisons

- [LLMGraph vs Langflow](https://llmgraph.ai/alternatives/langflow): hosted no-code canvas vs open-source visual IDE
- [LLMGraph vs Flowise](https://llmgraph.ai/alternatives/flowise): hosted no-code builder vs self-hosted drag-and-drop
- [LLMGraph vs n8n](https://llmgraph.ai/alternatives/n8n): purpose-built LLM workflows vs general automation with AI nodes

## Articles

- [How to Add an AI Customer Support Assistant — Without Writing Code](https://llmgraph.ai/blog/no-code-customer-support-assistant): build a no-code customer support assistant grounded in your own docs and deploy it as a chat widget in an afternoon
- [How to Add an AI Chatbot to Your Shopify Store Without an App](https://llmgraph.ai/blog/shopify-ai-chatbot-without-an-app): practical walkthrough for putting an AI chat assistant on a Shopify storefront with a single script tag, no app install

## Legal

- [Terms of Service](https://llmgraph.ai/legal/terms-of-service)
- [Privacy Policy](https://llmgraph.ai/legal/privacy-policy)
- [Acceptable Use Policy](https://llmgraph.ai/legal/acceptable-use-policy)