Relevance AI alternative

Relevance AI Alternative Without the Embedding Pipeline. One Canvas, Deploy Everywhere.

Build agents and multi-agent workflows in the same visual canvas you use for knowledge and deployment — then ship to website, WhatsApp, Slack, or API without re-implementing anything. Free plan included. No per-seat fees.

Free plan · No credit card · No per-seat fees · Live in under 10 minutes

Differentiators

What SketricGen Does

That Relevance AI Can't.

Relevance AI splits your work across three disconnected product layers, hands you a DIY embedding pipeline to manage, and locks deployment behind an API-first architecture. SketricGen was built to remove exactly these constraints.

🧱 One Canvas for Everything

Relevance AI separates your work across three layers: Tools, Agents, and Teams. SketricGen puts your tools, agents, knowledge bases, handoffs, and deploy surfaces on one visual canvas.

📚 Knowledge Bases That Manage Themselves

Relevance AI requires you to own the embedding pipeline — chunking strategy, embedding model selection, refresh logic. SketricGen handles all of it automatically. Attach a URL or PDF and the platform chunks, embeds, and refreshes without engineering input.

🌐 Deploy to Website, WhatsApp, and Slack — Natively

Relevance AI is API-first by design. Getting to a live website widget, WhatsApp, or Slack requires significant extra implementation. SketricGen ships to all of those surfaces directly from the canvas where the agent was built.

📊 Per-Run Traces — Not Just Run History

Relevance AI gives you run history. SketricGen gives you per-run traces: model, tool calls, inputs, outputs, latency, and errors logged for every single run.

💳 No Per-Seat Pricing

Relevance AI bills on seats + agent runs + knowledge operations. SketricGen uses a single credit pool. Adding team members does not change your plan tier.

🚀 Live in Under 10 Minutes

From free signup to deployed agent — most builds are live in under 10 minutes. No infrastructure to configure. No embedding pipeline to set up.

Side-by-side

SketricGen vs Relevance AI

Feature Comparison.

FeatureSketricGenRelevance AI
Visual no-code builderFull canvas, no codeCode steps for complex flows
Multi-agent workflowsAll on one canvasSeparate Tools / Agents / Teams layers
Knowledge base setupAuto-managed — attach URL or PDFDIY embedding pipeline
Website widget deployNative, one-click from canvasAPI-first — separate implementation
WhatsApp / Slack / InstagramNative deploy surfacesRequires external connector
Per-run observabilityEvery run traced with full detailRun history only
Free planFull builder, 2,000 credits/month1,000 vendor credits + 200 actions/month
Per-seat chargeNoneYes — every collaborator adds cost

Comparison reflects publicly documented capabilities of Relevance AI at time of publication. Capabilities evolve — verify with vendors before procurement decisions.

Pricing

Pricing Comparison

SketricGen vs Relevance AI.

SketricGenRelevance AI
FreeFull builder + 2,000 credits/month1,000 vendor credits + 200 actions/month
Entry paid$19/month — no per-seat$19/month per user
Team$149/month — no per-seatScales with seats + usage
Scale$499/month — no per-seatEnterprise pricing
Knowledge ops billingIncluded in creditsSeparate credit consumption
Per-seat chargeNoneYes — every collaborator adds cost
Platform

What You're Getting

on SketricGen.

🧭 AgentSpace Visual Canvas

Design multi-step, multi-agent workflows visually. Every node shows its input, output, and tool calls in real time. No separate interface to switch between when adding knowledge, agents, or deploy surfaces.

📚 Auto-Managed Knowledge Bases

Attach a help center URL, a PDF, or any document. SketricGen handles chunking, embedding, and refresh. Agents cite their sources per answer.

🌐 Deploy Everywhere Customers Are

One build, every channel: website widget, WhatsApp Business, Slack, Instagram DMs, Telegram, and API. The same agent runs on all surfaces.

📊 Per-Run Observability and Traces

Every run is logged with model choice, tool calls, inputs, outputs, latency, and error details. Most teams see 30%+ accuracy gains in the first two weeks.

🔌 2,000+ App Integrations

Connect to your CRM, helpdesk, e-commerce platform, messaging tools, and internal databases via MCP protocol.

🤖 Max Agent Builder

Describe what you want in plain language. Max generates a complete multi-agent workflow — tools pre-wired, knowledge attached, deploy surfaces selected.

Use cases

What Teams Build

with SketricGen.

Customer Support Agent

Handles FAQs, order lookups, return processing, and escalations with full context. Resolves 60–80% of tier-1 tickets. Deploys to website, WhatsApp, and Slack simultaneously.

Shopify AI Agent

Handles pre-purchase questions, WISMO queries, returns, and product recommendations. Tracks conversation-attributed revenue.

Lead Qualification Agent

Qualifies inbound leads by BANT criteria, enriches contact records, routes to the right rep, and sends a structured summary to Slack.

Website AI Chatbot

Paste your URL — SketricGen reads your content, learns your brand, and deploys a grounded AI chatbot in under 5 minutes.

Internal Knowledge Agent

Attach internal documentation, runbooks, or HR policies. Deploy to Slack. Answers team questions by citing the relevant source.

Customer Onboarding Agent

A four-agent onboarding stack: welcomer, checker, helper, and escalator. Reduces churn 20–25% vs. time-based email drips.

Migration

How Long Does Migration

from Relevance AI Take?

Most teams have a working SketricGen deployment running in parallel within one afternoon.

  1. Step 1

    Export your knowledge

    Download the content powering your Relevance AI knowledge base: PDFs, help center URLs, document links. SketricGen rebuilds the embedding pipeline automatically from your content.

  2. Step 2

    Rebuild in AgentSpace

    Recreate your agent in the visual canvas. For most single-agent configurations: 30–60 minutes. For multi-agent workflows: 1–2 hours.

  3. Step 3

    Run both in parallel

    Deploy SketricGen alongside your existing Relevance AI setup for 48 hours. Compare output quality on the same inputs before switching traffic over.

  4. Step 4

    Update deploy surfaces

    Swap the website embed code, reconnect your WhatsApp number, update your Slack integration. Each takes under 5 minutes from the deploy panel.

Switch when you are hitting deployment friction, embedding pipeline overhead, unpredictable billing, or lack of per-run observability — not just for the sake of rebuilding.

Last reviewed: June 2026