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B2B SAAS · KNOWLEDGE ASSISTANTS

RAG Chatbot SaaS

Company knowledge, ready for a website conversation.

A multi-tenant platform that lets businesses create AI assistants from their own website content and documents, then embed a chatbot on their sites.

Explore the project
BUILT FOR

Businesses offering a knowledge assistant on their website

Illustrated overview of RAG Chatbot SaaS

Start with a real problem.

01 / THE CHALLENGE

What needed to work better?

A general-purpose chatbot does not automatically know a business's products, services, and documentation. Each customer needs a knowledge base tied to their own material.

02 / THE SOLUTION

A connected way forward.

The platform combines website scraping, document ingestion, vector retrieval, and an embeddable assistant. Multi-tenant design supports separate customer workspaces within the SaaS product.

Designed to make the work easier.

  • Assistants grounded in company material
  • A repeatable customer onboarding process
  • An embeddable customer-facing experience

The useful parts, explained.

Core capabilities that turn the idea into a practical product.

01

Website knowledge ingestion

Collect business content from the customer's website.

02

Document-based context

Add uploaded files to the assistant's knowledge base.

03

Tenant-aware workflows

Organise assistants and data around customer workspaces.

04

Embeddable widget

Bring the configured assistant onto the customer's website.

Follow the workflow.

Select a step to see how the project moves from input to outcome.

STEP 01 / THE WORKFLOW

Create a workspace

Start a business-specific assistant configuration.

Illustrative workflow overview

A closer look.

Explore the project visual in more detail.

Project visual.

The technology behind the work.

The stack behind this project and its connected workflow.

SaaS DevelopmentFastAPIUvicornOpenAI APIAI PlatformVector DBMulti-tenancyAI AgentsRAG

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