RAG as a Service platform for developers

Skip months of RAG development, maintenance, and model updates. Get production-ready retrieval-augmented generation with MCP server, web UI, and REST API.

Start free trial Book a demo

15 min

setup time

20+

platforms

14 days

free trial

Biel.ai AI chatbot dashboard showing documentation search interface with analytics, customization options, and user interaction insights

Trusted by documentation teams

Build vs Buy

Building RAG takes months. Maintaining it takes more.

Developers spend 3-6 months building RAG infrastructure, then discover vector databases are outdated, embeddings need retraining, and models require constant updates. Focus on your product, not RAG plumbing.

Building RAG yourself

Months of development

3-6 months development time

Vector databases, embeddings, chunking strategies, retrieval logic

Constant maintenance overhead

Model updates, vector reindexing, performance optimization

Infrastructure complexity

Scaling, monitoring, security, and deployment challenges

RAG-as-a-Service

Production-ready platform

Deploy in 15 minutes

Ready-to-use RAG infrastructure with MCP, UI, and API

Zero maintenance

Automatic model updates, scaling, and performance optimization

Focus on your product

Build features, not infrastructure. We handle the RAG complexity

Three ways to integrate. One platform.

One platform, three entry points. Pick the one that fits your stack.

MCP Server

Recommended

Give any AI assistant your docs as context

Connect to Claude, Cursor, Cline, and any MCP-compatible application. No infrastructure to manage.

Claude DesktopClaude CodeCursorWindsurfClineChatGPT

claude_desktop_config.json

{
  "mcpServers": {
    "biel-ai": {
      "name": "Biel.ai",
      "type": "http",
      "url": "https://mcp.biel.ai/v2/YOUR_PROJECT_SLUG/mcp"
    }
  }
}

Learn more

Embeddable UI

Any website

Customizable chatbot widget. White-label ready with your brand colors and styling. One script tag to embed.

<biel-search-button
  project="YOUR_PROJECT_ID"
  button-style="rounded">
  Search
</biel-search-button>

View docs

REST API

Full control

Production-grade REST API with OpenAPI 3.0 spec, rate limiting, and authentication. Build any experience on top.

curl app.biel.ai/api/v1/chats/ \
  -H "Authorization: Token ..." \
  -d '{"message": "How do I..."}'

View docs

Enterprise-grade RAG infrastructure

Production-ready indexing, retrieval, and generation capabilities. Built to scale with automatic updates, monitoring, and security.

Documents flowing into indexing pipeline

Automatic indexing

Crawl docs, chunk content, generate embeddings automatically. Your RAG pipeline stays in sync with every content update.

Model management

We handle model updates, retraining, and optimization. You get the latest retrieval quality without touching infrastructure.

Scalable infrastructure

Production-grade retrieval that scales with your content. From hundreds to millions of documents, performance stays consistent.

Multiple integration methods for RAG platform

MCP + API + UI

Three integration methods from one platform. Connect via Model Context Protocol, REST API, or embed our ready-made UI.

Security isn't a feature. It's the foundation.

Enterprise-grade protection for your documentation data. Built for teams that take compliance seriously.

Domain restrictions

Role-based access & SSO

Rate limiting & abuse prevention

OAuth 2.0 & API token auth

AES-256 encryption

Data encrypted in transit and at rest

GDPR compliant

European data protection standards

Private by default

Never used for model training

Bring your own keys

Full control over your infrastructure

What developers say

See how development teams use Biel.ai to add RAG capabilities without building infrastructure.

“Biel.ai has been one of those great examples of low effort, high impact tasks. Easy to set up, yet the positive effects are felt immediately.”

Marko Stanik

Product Success at Turnkey

“Super easy to get started, reads all our sites without trouble, and helps us learn what questions our users ask.”

Tim McMakin

Technical Writer at TriliTech

“The support at biel.ai is outstanding. They're always fast and helpful, and they turn our feature requests into reality in no time.”

Lars Wilhelmer, PhD

Documentation Engineer at Talon.one

Frequently asked questions

Have another question? Contact us.

A managed platform that handles the entire retrieval-augmented generation pipeline — crawling, chunking, embedding, retrieval, and generation — so you don't have to build or maintain RAG infrastructure yourself.

Building RAG requires 3-6 months of development plus ongoing maintenance of vector databases, embeddings, and models. Biel.ai gives you a production-ready pipeline in 15 minutes with automatic updates.

Use MCP to connect your docs to AI tools like Claude or Cursor. Use the REST API for custom applications. Use the embeddable UI for a ready-made chatbot widget on your site.

Biel.ai crawls your documentation on a schedule, chunks the content, and generates embeddings automatically. You can also trigger manual syncs via the dashboard or API.

Your data is encrypted and never used to train models. We're GDPR compliant. See our Privacy Policy for details.

Try free for 14 days, no credit card required. Then choose a plan based on your usage. See pricing.

Start building with RAG today

Production-ready retrieval-augmented generation. No infrastructure to manage.

Start free trial Book a demo

14-day free trialNo credit card required$50/mo to start