add missed retriever config

configs/retriever/related_span_retriever_with_relations_from_other_docs.yaml

@@ -0,0 +1,47 @@
+_target_: src.langchain_modules.DocumentAwareSpanRetrieverWithRelations
+reversed_relations_suffix: _reversed
+relation_labels:
+  - supports_reversed
+  - contradicts_reversed
+retrieve_from_same_document: false
+retrieve_from_different_documents: true
+pie_document_type:
+  _target_: pie_modules.utils.resolve_type
+  type_or_str: pytorch_ie.documents.TextDocumentWithLabeledMultiSpansBinaryRelationsAndLabeledPartitions
+docstore:
+  _target_: src.langchain_modules.DatasetsPieDocumentStore
+search_kwargs:
+  k: 10
+search_type: similarity_score_threshold
+vectorstore:
+  _target_: src.langchain_modules.QdrantSpanVectorStore
+  embedding:
+    _target_: src.langchain_modules.HuggingFaceSpanEmbeddings
+    model:
+      _target_: src.models.utils.adapters.load_model_with_adapter
+      model_kwargs:
+        pretrained_model_name_or_path: allenai/specter2_base
+      adapter_kwargs:
+        adapter_name_or_path: allenai/specter2
+        load_as: proximity
+        source: hf
+    pipeline_kwargs:
+      tokenizer: allenai/specter2_base
+      stride: 64
+      batch_size: 32
+    model_max_length: 512
+  client:
+    _target_: qdrant_client.QdrantClient
+    location: ":memory:"
+  collection_name: adus
+  vector_params:
+    distance:
+      _target_: qdrant_client.http.models.Distance
+      value: Cosine
+  label_mapping:
+    background_claim:
+      - background_claim
+      - own_claim
+    own_claim:
+      - background_claim
+      - own_claim