Refactor the ArangoDB class and the script for fetching documents related to electric cars. The code has been modified to improve readability and maintainability. The script now uses the Ollama library to generate arguments based on the fetched documents. This update will make it easier to extract arguments related to electric cars from the database.
This commit adds a new script, `example_fetch_docs.py`, which fetches documents from the ArangoDB database. The script uses the Ollama library to generate arguments related to electric cars from the fetched documents.
The script first queries the database to retrieve documents where the translation contains the phrase "electric car". It then iterates through the fetched documents and generates arguments using the Ollama library.
The generated arguments are based on a prompt that asks for arguments related to electric cars in the text of each document. The prompt is customized to provide a transcript of a speech given in the European Parliament.
This script will be useful for extracting arguments related to electric cars from a collection of documents.
Lasse Studion
Lasse Edfast