Empower your business with AI agents to automate tasks, boost productivity, and scale effortlessly.
Relevance AI is a no-code platform that enables businesses to create and manage AI agents—digital team members designed to automate repetitive tasks across various departments such as sales, marketing, customer support, and operations. By leveraging large language models (LLMs) and integrating with over 2,000 tools, Relevance AI allows users without technical expertise to build, deploy, and oversee AI agents that function similarly to human employees, thereby enhancing efficiency and scalability.
No, Relevance AI is designed as a no-code/low-code platform, allowing users to build AI agents through a visual interface without any programming knowledge.
An AI workforce refers to a team of AI agents equipped with tools specific to your business operations. These agents can autonomously perform tasks, much like human employees, enhancing efficiency and productivity.
The Invent feature allows users to create custom AI agents by simply describing their desired functions in natural language. The platform then generates a working draft of the agent, which can be further customized as needed.
Yes, Relevance AI offers seamless integration with over 2,000 tools, including popular platforms like HubSpot, Salesforce, and Zapier, enabling AI agents to enhance and automate functionalities across various systems.
The Multi-Agent System allows users to create teams of AI agents that collaborate to complete complex workflows autonomously. These agents can interact, share information, and coordinate tasks to achieve common goals.
If you're experiencing slow performance, it may be due to browser extensions, particularly Grammarly. Try disabling such extensions before using Relevance AI's tool builder. If issues persist, contact the support team for assistance.
Relevance AI uses approximately 90% of the token capacity for the prompt (including knowledge) and the remaining for the output. If your prompt or knowledge base is extensive, it may lead to incomplete outputs. To handle this, the platform fetches the most relevant pieces of knowledge using vector search, and you can adjust the page size parameter under advanced options to manage the input size.
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