Fix Weaviate Retriever e2e tests (#257)

* Change embedding model

* And now we can use the same pattern, since scores are the sames, like they are supposed to be

* Also changing the image in the GitHub actions otherwise it doesn't work

Author: stellasia

.github/workflows/pr-e2e-tests.yaml

@@ -20,7 +20,7 @@ jobs:
           - 'latest'
     services:
       t2v-transformers:
-        image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2-onnx
+        image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2
         env:
           ENABLE_CUDA: '0'
       weaviate:

.github/workflows/scheduled-e2e-tests.yaml

@@ -19,7 +19,7 @@ jobs:
           - 'latest'
     services:
       t2v-transformers:
-        image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2-onnx
+        image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2
         env:
           ENABLE_CUDA: '0'
         credentials:

tests/e2e/docker-compose.yml

@@ -10,8 +10,8 @@ services:
       - http
     image: cr.weaviate.io/semitechnologies/weaviate:1.25.1
     ports:
-      - 8080:8080
-      - 50051:50051
+      - "8080:8080"
+      - "50051:50051"
     restart: on-failure:0
     environment:
       TRANSFORMERS_INFERENCE_API: "http://t2v-transformers:8080"
@@ -22,7 +22,7 @@ services:
       ENABLE_MODULES: "text2vec-transformers"
       CLUSTER_HOSTNAME: "node1"
   t2v-transformers:
-    image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2-onnx
+    image: cr.weaviate.io/semitechnologies/transformers-inference:sentence-transformers-all-MiniLM-L6-v2
     environment:
       ENABLE_CUDA: "0"
   neo4j:

tests/e2e/weaviate_e2e/populate_dbs.py

@@ -31,7 +31,7 @@ def populate_dbs(
         collection_name,
         vectorizer_config=wvc.config.Configure.Vectorizer.text2vec_transformers(),
         vector_index_config=wvc.config.Configure.VectorIndex.hnsw(
-            distance_metric=wvc.config.VectorDistances.COSINE  # select prefered distance metric
+            distance_metric=wvc.config.VectorDistances.COSINE  # select preferred distance metric
         ),
         properties=[
             wvc.config.Property(name="neo4j_id", data_type=wvc.config.DataType.TEXT),

tests/e2e/weaviate_e2e/test_weaviate_e2e.py

@@ -135,6 +135,6 @@ def test_weaviate_neo4j_text_input_remote_embedder(
         r"labels=frozenset\({'Question'}\) properties={'question': 'In 1953 Watson \& "
         "Crick built a model of the molecular structure of this, the gene-carrying "
         "substance', 'id': 'question_c458c6f64d8d47429636bc5a94c97f51'}> "
-        r"score=0.5[0-9]+>"
+        r"score=0.6[0-9]+>"
     )
     assert re.match(pattern, results.items[0].content)