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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.

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No API Key Required
Full Customization
No Credit Card Required

Powerful data management for your AI apps

Import, organize, and leverage data from multiple sources with our intuitive dataset tools. Connect websites, documents, and custom data to build comprehensive knowledge bases that power your AI applications with relevant context.

Edit Dataset

Create and manage Datasets with ease

Import data from websites, documents, or custom sources to build powerful knowledge bases for your AI applications.

LLM Models

Access powerful AI models with our user-friendly editor

Harness Anthropic, OpenAI, Deepseek and more through our simple editor. Build powerful AI Datasets with just a few clicks.

Workflow Logs

Test, monitor & troubleshoot your AI Datasets

Review logs, monitor performance, and troubleshoot issues with your AI Datasets. Get the insights you need to debug fast.

How it Works

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.

Integrate your favorite
Tools

Google
Google
Exa
Anthropic
Openai
Mistral
Deepseek
Meta Llama
Get Started
No API Key Required
Full Customization
No Credit Card Required

Your data stays yours

Your data is only accessible to your AI tools and is never used to train models.

Data encryption

All data is encrypted at rest and in transit. We use industry-standard encryption algorithms.

GDPR Compliant

We are compliant with the GDPR and have implemented measures to ensure your data is protected.

Secure and Private

We take security and privacy seriously. Fetch Hive is built with the latest security standards and protocols and is GDPR compliant. Your data is yours to keep.

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ShieldTickIcon Fetch Hive is committed to safeguarding your data.

Gen AI tools that save you time

Our custom tools help you grab info from websites, handle big datasets, and build smart AI workflows. Save time and create better content by tapping into your data.

Without Fetch Hive

  • More manual work needed
  • Prompts scattered everywhere
  • Slow comparisons between LLM models
  • No way to collaborate with team members
  • Inconsistent prompt performance

With Fetch Hive

  • Supercharges productivity
  • Easy for everyone, technical or not
  • Centralized data saves time
  • Collaborate and innovate with team members
  • Smooth workflow management

Agents

Build custom RAG Chat Agents to interact with data.

Datasets

Collect and store data from the web or files.

Fine-tuning

Fine-tune models to your specific needs.

Workflows

Build complex, multi-step prompts with tools.

Frequently asked questions

  • What is a dataset?

    A dataset in Fetch Hive is a structured collection of information that serves as a knowledge base for your AI applications. Think of it as your AI's personal library of facts and information that it can reference during conversations. Datasets contain valuable content from diverse sources like websites, documents, or custom entries that you want your AI to "know" about. When connected to Chat Agents or workflows, datasets provide the contextual knowledge needed for more accurate, relevant, and informative AI responses that are tailored to your specific domain or use case.

  • What types of data can I import into Fetch Hive datasets?

    Fetch Hive supports a wide range of data sources. You can import data from websites through our scraping tools, upload documents (PDF, Word, Excel, etc.), or create custom data entries manually. This flexibility allows you to build comprehensive knowledge bases from virtually any text-based information source to power your AI applications.

  • How do datasets enhance my AI applications?

    Datasets provide your AI applications with contextual knowledge and relevant information that significantly improves response quality. When connected to RAG Chat Agents, datasets enable your AI to reference specific information rather than relying solely on its training data. This results in more accurate, relevant, and factual responses tailored to your specific needs and domain knowledge.

  • How are my datasets processed for AI use?

    When you create a dataset, Fetch Hive automatically processes your data through several steps:

    • Text extraction from various file formats
    • Data cleaning to remove irrelevant content
    • Chunking to break down content into manageable pieces
    • Vectorization to create searchable embeddings
    • Indexing for quick retrieval during AI interactions

    This processing makes your data immediately usable for RAG Chat Agents, fine-tuning, or other AI applications.

  • How can I maintain and update my datasets?

    Fetch Hive makes dataset maintenance simple with several key features:

    • Easy editing of individual data items directly in the interface
    • Bulk updates to efficiently manage large datasets
    • Scheduled scraping to automatically refresh data from websites
    • Version control to track changes and revert if needed
    • Performance analytics to identify which data is most useful in your AI applications

    These tools ensure your datasets remain current and optimized for the best AI performance.

Ready to start building
Chat Agents?

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No API Key Required
Full Customization
No Credit Card Required