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Understand your data better with Agents

Unlock the full potential of your data with our interactive RAG Chat Agents. Transform your questions and information into meaningful, actionable insights that drive your business forward.

Get Started Book a demo
No API Key Required
Full Customization
No Credit Card Required

Unlock smarter conversations with Agent Tools

Enhance your RAG Chat Agents with Google Search, Vector Databases, and Message History to deliver more accurate, contextual, and intelligent responses to your queries.

Agent Chat

Chat and Interact with your Agents inside the dashboard

Experience real-time conversations with your custom Agents directly in our intuitive interface. Test responses and refine your AI's capabilities instantly.

LLM Models

Access powerful AI models with our user-friendly editor

Harness Anthropic, OpenAI, Deepseek and more through our agent editor. Build powerful Agents with just a few clicks.

Workflow Logs

Test, monitor & troubleshoot your Agent responses

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

How it Works

1

Create an agent

Start by creating an agent. Specify settings like name, model, and instruction prompt to tailor it to your needs.

2

Select your tools

Configure your agent to use datasets, google search and message history to supercharge your responses.

3

Start chatting

Navigate to your agent and start your first chat. Send messages and receive answers based on your data.

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 are RAG Chat Agents?

    Think of Chat Agents as smart assistants that actually know your business inside and out. Unlike regular chatbots that often give generic or made-up answers, our Chat Agents can search through your company's specific information - like documents, websites, and knowledge bases - to provide accurate answers based on your actual data.

    For example, imagine a customer asking about your return policy for a specific product. Instead of offering a vague response, your Chat Agent can find your exact policy document, reference the relevant section, and provide the precise answer - even mentioning exceptions or special cases that apply to that particular item. It's like having your most knowledgeable team member available 24/7, but without the coffee breaks!

    This makes Chat Agents perfect for customer support (where accuracy matters), helping employees find internal information quickly, or creating specialized assistants that can discuss your products, services, or research with the depth and precision of an expert.

  • How do I create an effective RAG Chat Agent?

    Creating an effective RAG Chat Agent in Fetch Hive involves these key steps:

    • Prepare quality data - Import relevant documents, websites, or custom content into datasets
    • Define the agent's purpose - Clearly specify what tasks your agent should handle
    • Craft the system prompt - Create instructions that shape the agent's personality and behavior
    • Configure retrieval settings - Adjust how the agent searches and prioritizes information
    • Test and refine - Evaluate performance with real-world questions and iterate as needed

    Fetch Hive's no-code interface makes this entire process straightforward, allowing both technical and non-technical team members to collaborate on building powerful AI agents.

  • What types of data can my agents access?

    Fetch Hive agents can access multiple data sources to power their responses:

    • Documents - PDFs, Word files, Excel spreadsheets, PowerPoint presentations, and more
    • Web content - Website pages, blog posts, and other online resources
    • Custom datasets - Structured information you create directly in Fetch Hive
    • Public data - Optional connections to search engines and web browsing capabilities
    • API integrations - Connect to your existing systems to pull live data

    All data is securely processed and indexed to make it easily searchable by your agents, with proper data separation to ensure each agent only accesses the information it should.

  • How can I deploy my RAG Chat Agents?

    Fetch Hive offers multiple deployment options to integrate your RAG Chat Agents into your workflows:

    • Web interface - Share direct links to your agents for instant access through browsers
    • Widget embedding - Add chat interfaces to your website with a simple code snippet
    • API endpoints - Connect your agents to custom applications and services
    • Slack integration - Deploy your agent directly in your team's Slack workspace
    • Microsoft Teams - Make your agent available through Teams channels

    Each deployment option includes authentication controls, usage tracking, and performance analytics to help you monitor and optimize your agents.

  • What makes Fetch Hive's RAG Chat Agents different?

    Fetch Hive's RAG Chat Agents stand out from standard AI assistants in several important ways:

    • Factual grounding - Responses are based on your actual data, not hallucinations
    • Source transparency - Agents show exactly which documents they referenced for each answer
    • Custom tools - Extend agents with specialized abilities like calculation, web search, and API calls
    • Hybrid knowledge - Seamlessly combine information from your data with the model's general knowledge
    • Continuous learning - Agents improve over time through feedback and conversation history analysis

    These capabilities create AI assistants that are truly specialized for your specific needs rather than generic chat experiences, delivering higher accuracy and more relevant responses to your users.

Ready to start building
Chat Agents?

Get Started Join Discord
No API Key Required
Full Customization
No Credit Card Required