RAGGENIE

Building a chatbot that answers from your own documents and systems usually means stitching together retrieval, models and connectors by hand.

RAGGENIE is a low-code platform for building custom GenAI copilots on your own data, using retrieval-augmented generation (RAG) so answers draw on the sources you connect.

It sits in the AI app builder and no-code and low-code space, and it is geared toward people who do not have deep engineering skills.

RAGGENIE comes with out-of-the-box connectors, so you can link data sources without writing integration code.

You can also hook a copilot up to different agents and workflows and bring in other tools, which matters if you want the assistant to take part in a process rather than only answer questions.

The idea is speed: a working RAG copilot in minutes rather than weeks of development.

The focus is conversational assistants built on private data, such as internal knowledge helpers or productivity copilots for a team.

If you want a general-purpose model with no setup, RAGGENIE is more than you need.

If your own data is the point, it fits.