Relevance AI
Agents & AutomationNo-code AI agent builder for teams. Create multi-step AI workflows with knowledge base integration, tool use, and API deployment without writing code.
Best For
Pricing Plans
Features
Pros & Cons
Pros
- +No-code agent builder
- +Knowledge base integration
- +Free tier with 100 runs/day
- +API deployment for built agents
Cons
- -Team tier is expensive
- -Limited integrations vs Make/n8n
- -Learning curve for complex agents
- -Smaller community
Getting Started Guide
Step-by-step instructions for non-technical users.
- 1
Create a free account
Sign up at relevanceai.com. Free tier includes 100 runs per day — plenty for building and testing.
- 2
Browse agent templates
Start with pre-built agent templates for common tasks: customer support, data extraction, document analysis.
- 3
Build a custom agent
Use the visual builder to create an agent. Define its knowledge base, tools it can use, and the steps it should follow.
- 4
Connect a knowledge base
Upload documents, PDFs, or connect to your data sources. The agent uses this knowledge to answer questions accurately.
- 5
Deploy via API
Once your agent works, deploy it via API to embed in your product, website, or internal tools.
Frequently Asked Questions
Relevance AI vs building custom with LangChain?
Relevance AI is no-code and faster to deploy. LangChain gives full control but requires Python development. Choose Relevance for speed, LangChain for maximum flexibility.
What can agents do?
Agents can answer questions from your documents, extract data from PDFs, categorize support tickets, generate reports, and more. Anything that follows a repeatable process.
Is the free tier enough?
100 runs/day is generous for testing and small-scale use. Production workloads typically need the Pro ($19/mo) or Team ($199/mo) plan.