> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tryfltr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to FLTR

> Context as a Service - AI-ready dataset platform via MCP

# Welcome to FLTR

FLTR is a powerful Context as a Service platform that makes your documents searchable and accessible to AI applications through the Model Context Protocol (MCP).

## What is FLTR?

FLTR transforms your documents into AI-ready datasets with:

* **Semantic Search**: Hybrid vector + keyword search with optional reranking
* **Multimodal Support**: Process PDFs, images, text, and more
* **MCP Integration**: Native support for Claude Desktop, VS Code, Cursor, and other MCP clients
* **RESTful API**: Simple HTTP API for any programming language
* **Real-time Processing**: Automatic document chunking and embedding

## Key Features

<CardGroup cols={2}>
  <Card title="MCP-Native" icon="plug" href="/authentication/oauth">
    Built-in OAuth 2.1 support for Claude Desktop, VS Code, and Cursor
  </Card>

  <Card title="Powerful Search" icon="magnifying-glass" href="/api-reference/mcp/query">
    Hybrid search combining vector similarity and keyword matching
  </Card>

  <Card title="Simple API" icon="code" href="/quickstart/getting-started">
    RESTful API with comprehensive documentation and examples
  </Card>

  <Card title="Low-Code Ready" icon="wand-magic-sparkles" href="/integrations/zapier">
    Integrate with Zapier, Make, n8n, and other automation platforms
  </Card>
</CardGroup>

## Quick Start

Get started with FLTR in just a few steps:

<Steps>
  <Step title="Create an Account">
    Sign up at [www.tryfltr.com](https://www.tryfltr.com) to get started
  </Step>

  <Step title="Generate an API Key">
    Navigate to Settings → API Keys and create your first API key
  </Step>

  <Step title="Make Your First Request">
    Use our API to create a dataset and upload your first document
  </Step>
</Steps>

<Card title="Follow the Tutorial" icon="rocket" href="/quickstart/getting-started">
  Complete step-by-step guide to your first integration →
</Card>

## Authentication Methods

FLTR supports three authentication methods to fit your use case:

| Method        | Rate Limit           | Best For                        |
| ------------- | -------------------- | ------------------------------- |
| **Anonymous** | 50 requests/hour     | Testing, public datasets        |
| **API Key**   | 1,000 requests/hour  | Scripts, services, integrations |
| **OAuth/MCP** | 15,000 requests/hour | MCP clients, web applications   |

<CardGroup cols={3}>
  <Card title="API Keys" icon="key" href="/authentication/api-keys">
    For scripts and services
  </Card>

  <Card title="OAuth 2.1" icon="shield-halved" href="/authentication/oauth">
    For MCP clients
  </Card>

  <Card title="Sessions" icon="browser" href="/authentication/sessions">
    For web applications
  </Card>
</CardGroup>

## Use Cases

### For AI Developers

Build AI applications with semantic search over your documents:

* RAG (Retrieval Augmented Generation) systems
* Knowledge bases for AI agents
* Document Q\&A systems
* Research assistants

### For No-Code Builders

Integrate FLTR into your workflows:

* Zapier automations
* Make.com scenarios
* n8n workflows
* Custom webhooks

### For Enterprises

Enterprise-ready features:

* Team collaboration
* Credit-based usage
* Advanced security
* Custom embedding models

## What's Next?

<CardGroup cols={2}>
  <Card title="Getting Started Guide" icon="book-open" href="/quickstart/getting-started">
    Learn the basics and make your first API call
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/introduction">
    Explore all available endpoints and features
  </Card>

  <Card title="Integration Guides" icon="puzzle-piece" href="/integrations/zapier">
    Connect FLTR with your favorite tools
  </Card>

  <Card title="Troubleshooting" icon="life-ring" href="/support/troubleshooting">
    Common issues and solutions
  </Card>
</CardGroup>

## Need Help?

* **Documentation**: Browse this documentation for guides and examples
* **Support**: Email us at [support@fltr.com](mailto:support@fltr.com)
* **GitHub**: Check out our GitHub for code examples
* **Status**: View system status at [status.fltr.com](https://status.fltr.com)