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🚀 Aikeedo v5.1 is now available!

Your AI SaaS business, ready by this week!

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AI Assistants

Assistants trained on your data

Users build assistants with their own instructions, files and links, then chat with them or share them with the team.

Files and links are embedded into a vector store that powers a custom assistant

Personas with instructions

Name, avatar, expertise and system instructions for each assistant.

Knowledge sources

Train assistants on uploaded files and web links, managed from one Sources page.

Built-in RAG

Content is embedded and searched at answer time, so replies are grounded in the user’s data.

Any chat model

Assistants work with every model you enable, and users can switch models mid-chat.

Visibility levels

Keep an assistant private, share it with the workspace, or publish it to everyone.

Admin-built assistants

Create assistants in the admin panel and offer them to your users.
Under the hood

Embeddings and vector storage, your choice

Aikeedo indexes sources with OpenAI or Ollama embedding models. Vectors live in a built-in store that needs zero setup, behind a pluggable vector-database interface.
  • OpenAI text-embedding-3 small/large or local Ollama embeddings
  • Built-in vector store, no extra service to run
  • Optional credit charge per indexed data unit
Embeddings and vector storage, your choice
For your business

Why it matters for your AI SaaS

You sell this to your customers under your own brand. Here is how it pays off.

Higher-value plans

Cap the number of custom assistants per plan, and sell more in the tiers above.

Team stickiness

Shared assistants become part of how a workspace works, which cuts churn.

Vertical products

Ship assistants for a niche (legal, real estate, support) and sell a specialized AI product.
Admin controls

You stay in control

Configure it from the admin panel. No code changes needed.
  • Allow users to create their own assistants
  • Set a custom-assistant cap per plan
  • Choose which assistants each plan can access
  • Pick the embedding model
  • Charge credits for indexed knowledge
Admin settings cards arranged around a user

Frequently asked questions

AI Assistants

1.  What can assistants be trained on?

Uploaded files (PDF, Word, CSV, text and other document types) and web links. Each source is split, embedded and searched when the assistant answers.

2.  Do I need a separate vector database?

No. A built-in file-based vector store works out of the box, so there is nothing extra to install or host.

3.  Can I embed an assistant on a website?

Website embedding is what the Chatbots add-on is for. It gives each subscriber their own embeddable widgets trained on their content.

Launch it under your brand

Get the full source code, install it on your server and start selling AI to your customers this week.