Add DB adapter for Weaviate (vector db)

[tiadams]

Implement a DB adapter for weaviate:
https://weaviate.io/developers/weaviate

Use the lokal in memory / file based DB in a first implementation

It should be possible to:

Store a computed embedding together with

• A terminology label / ID (String)
• Label of the Model used for generating this embedding (String)
• The original String
• A concept label / ID (String)

Retrieve an embedding

• Based on the highest (cosine) similarity
• Up to limit=n most similar vectors

Retrieve limit=n Random vectors from the DB for visualiazion

[tiadams]

@mehmetcanay if you have time and are up to it

[mehmetcanay]

Also store:

• the embedding model