metadata

title: Buster
emoji: 🤖
colorFrom: red
colorTo: blue
sdk: gradio
app_file: buster/apps/gradio_app.py
python_version: 3.10.8
pinned: false

Buster, the QA documentation chatbot!

Buster is a question-answering chatbot that can be tuned to specific documentations. You can try it here, where it will answer questions about 🤗 Transformers.

How does Buster work?

First, we parsed the documentation into snippets. For each snippet, we obtain an embedding by using the OpenAI API.

Then, when a user asks a question, we compute its embedding, and find the snippets from the doc with the highest cosine similarity to the question.

Finally, we craft the prompt:

The most relevant snippets from the doc.
The engineering prompt.
The user's question.

We send the prompt to the OpenAI API, and display the answer to the user!

Currently used models

For embeddings: "text-embedding-ada-002"
For completion: We support both "text-davinci-003" and "gpt-3.5-turbo"

Livestream

For more information, you can watch the livestream where explain how buster works in detail!