Ask by Relevance AI
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From documentation to GPT-4 powered support in 5 minutes
Ask by Relevance AI
From documentation to GPT-4 powered support in 5 minutes
Everyone has documentation - make it better immediately with a GPT-4 or ChatGPT AI assistant 💪
Ask Relevance connects to your documentation and provides you an API request or embeddable Widget to build the best in-app help centre.
Hey all 👋 I'm Daniel, co-founder of Relevance AI and I'm excited to launch Ask Relevance - your custom AI support assistant - on PH!
📝 In-app help and documentation is one of the best places to benefit from AI today and so we made it possible for users to connect their documentation and get an AI assistant they can embed via a widget or API. 💃 We believe builders need the ability to customise and control the way their assistant works which is why we've made it available for direct integration via API and the ability to choose from different models for use-cases such as non-english documentation or multi-lingual customers (shoutout to Cohere).
💪 We're also particularly excited to launch now as we've added support for GPT-4 - as a user you can choose between ChatGPT and GPT-4 based on your use-case to balance performance with cost.
🔥 To celebrate, we're offering 1 000 free queries to everyone who signs up in the next 48 hours!
Relevance AI is a platform that allows you to compose your own workflows (like Ask Relevance!) using AI building blocks. Some of our customers combine Ask Relevance with Clustering to learn about what queries users are asking to improve documentation. Or for internal use cases to enable agents to save time.
Hey Makers! Good luck with the launch.
1. Your video is not playing 2. I have seen few products doing the same. What do you think differentiates your product from others?
@tornike_phkhovelishvili thank you!
1. It looks like it's been fixed up by the amazing PH team now - hopefully you can see it
2. Great question! There are two key differences:
One is our approach to balancing the flexibility of building a solution yourself vs the ease of a SaaS service. We want to make the inconvenient bits easy whilst giving you the flexibility to choose your own model for generating vector embeddings, or technique for splitting context etc. This means you can easily support non-english use cases by selecting Cohere's multilingual model instead of the default.
The second is that it's part of our platform which has been around for a couple of years now used by both startups and enterprises and consists of other Workflows like Ask Relevance. Our customers can leverage building blocks to create AI workflows that enable them to ship features or or automate internal processes. So if you're starting off with your documentation, you quickly start finding that a combination of other workflows can start giving you even more value.
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