Frederik Wouters
The seed was planted earlier but today it was communicated for the first time. People at Calibrate can ask all their questions to a bot that has waded through the entire (internal) documentation.
The seed was planted earlier but today it was communicated for the first time. People at Calibrate can ask all their questions to a bot that has waded through the entire (internal) documentation.
Here you can see an example interaction with Booksbot.
You just ask a question and the bot answers with the information from your internal documentation. As an attachment, the bot also displays the references in the form of citations (where the documentation comes from), always handy to click through immediately.
We started with two internal sources of information.
But in time we may want to add resources to this.
Booksbot consists of several components. It is an Open source AI orchestration. It uses Python, a Vector Database and 2 AI models (an embedding model and an LLM or language model). We can customize the prompts ourselves so that gives a lot of possibilities. The official term is RAG or Retrieval-augmented Generation, also called generative AI colloquially.