Leverage data for smarter interactions

Collect, process, and integrate data effortlessly. Our Datasets feature empowers your RAG Chat Agents with deep, relevant context, turning every piece of information into a stepping stone for smarter, more impactful conversations.

1

Create a dataset

Start by creating a dataset, which acts as a container for multiple data items. You can assign a name and description to your dataset, helping you organize and identify your collection of related information.

2

Populate your dataset

Next, start building your data items. You can choose between website scraping, document parsing or even custom data for fine-tuning your models.

3

Interact with your data

Once your data has been added, you can view, edit, download, and regenerate it. You'll also have access to the vectorized form of your data, making it ready for AI-powered analysis and retrieval.

4

Unlock data integration

Now you can begin to start using your data. You can use it to fine-tune your own models, supercharge your RAG Chat Agents or even use it for prompt inputs.

Frequently asked questions

  • What is Fetch Hive?

    Fetch Hive is a tool that helps both developers and non-developers work together to create and manage prompts. It's designed for businesses of all sizes and includes an easy-to-use API to get your prompts up and running quickly.

  • Do I need coding knowledge to use Fetch Hive?

    No, you don't need coding knowledge to use Fetch Hive effectively. For product managers and others in non-technical roles, a basic understanding of how AI prompts function is sufficient. Developers or those looking to integrate Fetch Hive more deeply into systems will need to be familiar with interacting with APIs. Our platform is designed to be accessible to a wide range of users, ensuring that anyone can contribute to and leverage the power of AI-driven prompts.

  • What AI models do you support?

    Currently we support all models from OpenAI (GPT) and Claude (Anthropic). We are always looking to expand our support for more models in the future.

  • What are Fetch Hive credits?

    Fetch Hive credits are used each time you use an LLM or API endpoint:

    • LLM call with your own API Key - 1 credit
    • LLM call with Fetch Hive hosted model - credits proportional to usage
    • API Endpoint call - 1 credit

  • What if I need more Fetch Hive credits?

    Additional requests will be added and charged to your account automatically to ensure continuity.

  • Can I cancel anytime?

    Absolutely. Simply log into your account, click on your account settings and then "Cancel My Account". That's it. No need to call, email or talk to anyone!

  • Do you offer a free trial?

    Yes, we offer a 7-day free trial. This is a great opportunity for you to explore all the features of Fetch Hive and see how it fits your needs before making a commitment. It's a risk-free way to experience how our platform can enhance your prompt creation and management.

Ready to start building datasets?

Get early access to Fetch Hive.