Add create_index and similarity metric to api config (#493)

* make creation of label index optional

* add params for rest api

* reset tutorial flag

rest_api/config.py

@@ -25,6 +25,8 @@
 FAQ_QUESTION_FIELD_NAME = os.getenv("FAQ_QUESTION_FIELD_NAME", "question")
 EMBEDDING_FIELD_NAME = os.getenv("EMBEDDING_FIELD_NAME", None)
 EMBEDDING_DIM = os.getenv("EMBEDDING_DIM", None)
+VECTOR_SIMILARITY_METRIC = os.getenv("VECTOR_SIMILARITY_METRIC", "dot_product")
+CREATE_INDEX = os.getenv("CREATE_INDEX", "True").lower() == "true"
 
 # Reader
 READER_MODEL_PATH = os.getenv("READER_MODEL_PATH", "deepset/roberta-base-squad2")

rest_api/controller/search.py

@@ -14,7 +14,9 @@
     EMBEDDING_DIM, EMBEDDING_FIELD_NAME, EXCLUDE_META_DATA_FIELDS, RETRIEVER_TYPE, EMBEDDING_MODEL_PATH, USE_GPU, READER_MODEL_PATH, \
     BATCHSIZE, CONTEXT_WINDOW_SIZE, TOP_K_PER_CANDIDATE, NO_ANS_BOOST, MAX_PROCESSES, MAX_SEQ_LEN, DOC_STRIDE, \
     DEFAULT_TOP_K_READER, DEFAULT_TOP_K_RETRIEVER, CONCURRENT_REQUEST_PER_WORKER, FAQ_QUESTION_FIELD_NAME, \
-    EMBEDDING_MODEL_FORMAT, READER_TYPE, READER_TOKENIZER, GPU_NUMBER, NAME_FIELD_NAME
+    EMBEDDING_MODEL_FORMAT, READER_TYPE, READER_TOKENIZER, GPU_NUMBER, NAME_FIELD_NAME, VECTOR_SIMILARITY_METRIC, \
+    CREATE_INDEX
+
 from rest_api.controller.utils import RequestLimiter
 from haystack.document_store.elasticsearch import ElasticsearchDocumentStore
 from haystack.reader.farm import FARMReader
@@ -43,6 +45,8 @@
     embedding_field=EMBEDDING_FIELD_NAME,
     excluded_meta_data=EXCLUDE_META_DATA_FIELDS,  # type: ignore
     faq_question_field=FAQ_QUESTION_FIELD_NAME,
+    create_index=CREATE_INDEX,
+    similarity=VECTOR_SIMILARITY_METRIC
 )
 
 

tutorials/Tutorial1_Basic_QA_Pipeline.py

@@ -86,7 +86,6 @@
     logger.warning("Since we already have a running ES instance we should not index the same documents again. \n"
                    "If you still want to do this call: document_store.write_documents(dicts) manually ")
 
-
 # ## Initalize Retriever, Reader,  & Finder
 #
 # ### Retriever