AI models

Open-weight models, on your own GPU.

isobata uses no external AI API. Every model runs on your server, next to your code. The weights are downloaded once, at installation, from their publishers, and they are all under the Apache 2.0 licence.

The models

ModelWhat it doesPublisherLicence
Qwen3 14BWrites the answers, citing each sourceAlibaba QwenApache 2.0
Qwen2.5-Coder 14BUnderstands the question and routes it; writes descriptions of files and designs while indexingAlibaba QwenApache 2.0
Qwen3-Embedding 0.6BTurns code, docs, designs and questions into vectors for searchAlibaba QwenApache 2.0
BGE Reranker v2 M3Re-orders the search results by how well they answer the questionBAAIApache 2.0

All four run together on one NVIDIA GPU with 24 GB of memory. We choose and tune the models against a test set of real questions about real codebases; a change of model reaches you as a signed release, never silently.

How an answer is made

When indexing

  1. isobata reads your repositories, Markdown docs and Figma files and splits them into pieces: functions, sections, frames.
  2. It writes a short description of each file and design, so a question in plain words finds code that never uses those words.
  3. It turns every piece into a vector and stores it in the index on your server.

When your team asks

  1. The question is understood and, if it is broad, split into narrower questions.
  2. The index is searched for each of them, and the best candidates are re-ranked.
  3. The answer model writes the answer from those pieces only, and cites the file, page or frame behind each part, so anyone can check it.

Questions and documents don't need to share a language: a question in Italian finds documentation written in English, and the other way round.

What the models never do

What you need to run them: Installation.

Apply for the pilot