MongoDb Vector Search Test 1

1. Create VectorTest database.
2. Create test collection.
3. Create vector index:

db.test.createSearchIndex(
  "vectorIndex",
  "vectorSearch",
  {
     "fields": [
        {
           "type": "vector",
           "path": "embedding",
           "numDimensions": 1536,
           "similarity": "cosine"
        }
     ]
  }
);

4. Run ingest.py.
5. Run search.py.