Build customer support chatbots & AI agents from your docs.No code required.
Build AI workflows — RAG APIs, support bots, agents — on a canvas or just by describing them in chat. LLMGraph ships each one to a REST endpoint and an embeddable chat widget in one click.
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from your user
handbook.pdf
grounded replies
Ship your support chatbot anywhere your customers are
One workflow — your customer support chatbot or AI agent — deploys to a REST endpoint or an embeddable chat widget in one click. Drop it into your website, your product, or an internal tool — same workflow, every surface.
REST API endpoint
Call it from your backend, your app, your CI.
{ "input": "Where's my order?" }
{ "intent": "search", "response": "Order #4823 ships tomorrow." }
Embeddable chat widget
One iframe. Customer support, in-app help, internal tools.
Build it with chat, a canvas, or both.
Describe what you want in plain English and watch the graph build itself. Or wire it together yourself on the canvas. No code required — either way you get the same shippable workflow.
Start from a production-ready template
Skip the blank canvas. Pick a template, tweak it, and ship.
Customer Support Chatbot
Upload your help docs, FAQs, or policies. It answers customer questions from your content in a concise support voice — no vector DB to set up.
Agent Chat
Classify the user's intent, then route to a search tool or an action tool with a fallback branch.
Everything you need to ship agentic apps
From first prompt to production traffic — no infra to glue together.
Visual graph builder
Drop nodes on a canvas and wire them into a graph. Catch blocks reroute on failure — error handling is first-class, not bolted on.
Six foundation models, one canvas
Claude Sonnet 4.5, Claude Haiku 4.5, Llama 3.1 70B/8B, Mistral Large, and Amazon Nova Pro. Mix tiers in a single workflow.
Answers grounded in your docs
Drop in PDFs, Word docs, or markdown. Your workflow finds the right passage and answers from it — grounded in your content, not guesses.
Dev → staging → prod
Every graph deploys to three environments with version-pinned state machines. Promote with one click; rollback by re-pinning.
Branch and recover
Choice nodes route on JSONata conditions; catch blocks recover from upstream errors. Build production-grade flows without glue code.
Stripe-shaped API keys
Secret keys (sk_live_…) for your backend, publishable keys (pk_live_…) for the browser — origin-gated and per-key daily budget capped.
Metering and rate limits built in
Token-credit accounting per model, GCRA rate limiting per graph and per key. Stop runaway usage before the bill does.
Ship to any surface
Same workflow, two delivery flavors: REST endpoint for your backend, embeddable widget for any webpage — server-proxied or browser-direct.
From idea to deployment in minutes
Author with chat, test on the canvas, ship to any surface — without writing a line of code.
Describe it, or wire it
Tell chat what you want and it sketches the graph for you. Or drag nodes onto the canvas and wire the graph yourself.
Run it on the canvas
Execute the whole graph or any single node. Inputs and outputs come back live so you can iterate without a deploy cycle.
Deploy to three environments
One click publishes to dev, staging, or prod — same workflow, version-pinned. REST endpoint and embeddable widget both wired automatically.
Free tools for LLM builders
No signup, no data leaves your browser. Estimate costs, count tokens, and design tools before you build.
- LLM price comparisonLive table of every model's API prices — sort, filter, and cost out your own request size.
- LLM cost calculatorEstimate per-request, daily, and monthly spend from token counts and request volume.
- RAG cost calculatorFull pipeline costs — embeddings, vector storage, and generation — from corpus size and query volume.
- RAG chunking visualizerPaste a document and watch chunk size, overlap, and strategy change the chunks before you embed.
- LLM context window comparisonCount the tokens in any text and check which models it fits, against live context windows.
- Tool call & MCP schema builderBuild function-calling parameters once, copy valid JSON Schema for OpenAI, Anthropic, and MCP.
- AI chatbot ROI calculatorTurn ticket volume, handle time, and deflection rate into monthly support savings and ROI.
Start with a graph. Ship a product.
Start free with model credits — no card required. Add a plan when you need more headroom.