Databases

### What are you trying to do? A way to manage, and create and train databases that can run on-top of models ### How should we solve this? Docker has images, containers and volumes. Ollama currently only has models. To add a new category for databases. Databases can be managed by... - Import from file - Export to file - Download from registry - Uploaded to registry - Create new empty database - Rename database - Delete database - Duplicate database (Copy/paste database) Databases can be edited by training the databases on files (documents, images, videos, audios, web pages, etc). A Ollama GUI would be best for training a database. Now you have models and databases, when you run a model, you can add one or more databases with it which it will use as additional trained data. ### What is the impact of not solving this? Ollama will be limited to LLMs and unable to add additional training data on-top of LLMs. ### Anything else? Adding an additional feature when running models to choose a database to send any trained data from prompt. If a response is good, user can send a like (thumbs up) to the database to train the model that the response was good. If a response is bad, user can send a dislike (thumbs down) to the database to train the model that the response was bad. Adding a tagging feature to databases would be useful https://github.com/ollama/ollama/issues/2847