Private-code SaaS case study

Multi-tenant chatbot SaaS powered by LarAI Kit.

Heidi AI turns a Laravel RAG package into a usable product workflow: chatbot setup, knowledge-base ingestion, source-grounded answers, embeddable widgets, and admin oversight.

Product Surface

A practical chatbot SaaS needs more than a prompt box. Heidi AI includes the workflows needed to manage knowledge and deploy chat experiences.

Chatbot Management

Create and manage multiple chatbots for different business contexts.

Knowledge Ingestion

Upload documents and process them into searchable RAG context through LarAI Kit.

Source-Grounded Chat

Answer user questions using uploaded knowledge with source attribution.

Embeddable Widget

Expose chatbot experiences on external websites through a widget flow.

Admin Oversight

Provide platform-level visibility for users, chatbots, and operations.

Laravel Native

Built around Laravel workflows, queues, views, and package integration.

Demo Workflow

1
Create a chatbot for a support, sales, or internal knowledge use case.
2
Upload a demo FAQ, policy, or product guide as the chatbot knowledge base.
3
Process the document through LarAI Kit ingestion and vector search.
4
Ask questions and receive answers grounded in the uploaded content.
5
Embed the chatbot widget into a simple external website demo.

Privacy Note

The source code, credentials, production data, and private business logic are intentionally not public. This showcase uses sanitized product descriptions and will use demo screenshots only.