mini fixes, faq sample upload

examples/uploads/organon_demo/backend-scenarios-en.yaml

@@ -0,0 +1,92 @@
+- name: general_contraception_information # Must match the scenario name found in RAG graph
+  mode: retrieve_only # Literal[retrieve_llm, retrieve_only, llm_only, fixed_answer, sticky_answer]
+  min_pass_similarity_score: 0.55 # Custom value: if any answer is above, give three results
+  single_similarity_score: 0.86 # Custom value: is best answer is above, give single result
+  # min_similarity_score not used (stays -1.0) because it ditches all lower-score docs from results
+- name: intrauterine_devices
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55 # Sim Score = 2 * (1 - Distance) - 1
+  single_similarity_score: 0.86 # Sim Score = 2 * (1 - Distance) - 1
+- name: contraceptive_injection
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55
+  single_similarity_score: 0.86
+- name: emergency_contraceptive_pills
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55
+  single_similarity_score: 0.86
+- name: contraceptive_implant
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55
+  single_similarity_score: 0.86
+- name: combined_contraceptive_pills
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55
+  single_similarity_score: 0.86
+- name: other_okay
+  mode: retrieve_only
+  min_pass_similarity_score: 0.55
+  single_similarity_score: 0.86
+- name: own_side_effect
+  mode: fixed_answer
+  fixed_answer:
+    &abort_side_eff > # Anchors are added only for reference to old V1 template file
+    I'm not equipped to handle adverse events or other product-related queries. Your safety is
+    important to us, and we want to ensure you receive the appropriate support. Please report any
+    adverse events or concerns to our dedicated support team.
+    They can be reached at dpoc.vietnam@organon.com.
+    If you have any questions related to contraceptives or women's health, please feel free to ask,
+    and I'll provide you with the information you need.
+  keywords: [Mercilon, Marvelon, Implanon]
+  keyword_answer: &alternative_side_eff >
+    I'm not equipped to handle adverse events or other product-related queries. Your safety is
+    important to us, and we want to ensure you receive the appropriate support. Please report any
+    adverse events or concerns related to Organon products to our dedicated support team.
+    They can be reached at dpoc.vietnam@organon.com.
+    If you have any questions related to contraceptives or women's health, please feel free to ask,
+    and I'll provide you with the information you need.
+- name: own_dosage
+  mode: fixed_answer
+  fixed_answer: &abort_dosage >
+    I'm not equipped to handle adverse events, dosage-related questions or other product-related
+    queries. Your safety is important to us, and we want to ensure you receive the appropriate
+    support. Please consult with the prescribing doctor about the details on how to use the
+    medication. For further information, please write a message to our dedicated support team.
+    They can be reached at dpoc.vietnam@organon.com.
+    If you have any questions related to contraceptives or women's health, please feel free to ask,
+    and I'll provide you with the information you need.
+- name: brand_specific_information
+  mode: fixed_answer
+  fixed_answer: &brand_selection >
+    I appreciate your question about brand recommendations. For personalized advice related to
+    healthcare or specific products, it's always best to consult with a healthcare professional
+    who can consider your individual needs and provide tailored recommendations. They have the
+    expertise to guide you in the right direction.
+    If you have any questions related to contraceptives or women's health, please feel free to ask,
+    and I'll provide you with the information you need.
+- name: greetings_hay
+  mode: fixed_answer
+  fixed_answer: &how_are_you_hi >
+    I am fine thanks, hope you feel the same! Feel free to ask any contraception related question.
+- name: greetings_hi
+  mode: fixed_answer
+  fixed_answer: &say_hi >
+    Hi, nice to meet you! Feel free to ask any contraception related question.
+- name: emailthanks
+  mode: fixed_answer
+  fixed_answer: &email_thanks >
+    Thank you. Could I help with something else?
+- name: thanks
+  mode: fixed_answer
+  fixed_answer: &thanks_answer >
+    Not at all. Could I help with something else?
+- name: confirmation
+  mode: fixed_answer
+  fixed_answer: &confirmation_answer >
+    Thank you. Could I help with something else?
+- name: malicious
+  mode: sticky_answer
+  fixed_answer: &malicious_message >
+    I am sorry, but I feel you want me use in a wrong way.
+    If I feel it wrong, please try to rephrase your question.
+    Refresh your browser if you'd like to ask more questions.

lynxkite-lynxscribe/src/lynxkite_lynxscribe/lynxscribe_ops.py

@@ -89,7 +89,7 @@ class RAGTemplate(BaseModel):
         scenario_data_sheet_name: str,
         prompt_codes_sheet_name: str | None = None,
     ) -> "RAGTemplate":
-        """Spawn a from an Excel file containing the two needed (plus one optional) sheets."""
+        """Spawn a RAGTemplate from an Excel file containing the two needed (plus one optional) sheets."""
 
         def transform_codes(prompt_codes: pd.DataFrame) -> dict[str, str]:
             """Check and transform prompt codes table into a code dictionary."""
@@ -458,7 +458,7 @@ def ls_text_rag_loader(
 @mem.cache
 async def ls_faq_to_rag(
     *,
-    faq_excel_path: str = "uploads/organon_demo/organon_en_copy.xlsx",
+    faq_excel_path: str = "",
     vdb_provider_name: str = "faiss",
     vdb_num_dimensions: int = 3072,
     vdb_collection_name: str = "lynx",
@@ -543,7 +543,6 @@ async def ls_faq_to_rag(
 
 @output_on_top
 @op("LynxScribe RAG Graph Chatbot Builder")
-# @mem.cache
 def ls_rag_chatbot_builder(
     rag_graph,
     *,
@@ -564,7 +563,6 @@ def ls_rag_chatbot_builder(
     node_types = [t.strip() for t in node_types.split(",")]
 
     # handling inputs
-    # rag_graph = rag_graph[0]["rag_graph"] TODO: check why is it bad
     rag_graph = rag_graph["rag_graph"]
 
     parameters = {
@@ -743,7 +741,7 @@ async def get_chat_api(ws: str):
     assert path.exists(), f"Workspace {path} does not exist"
     ws = workspace.load(path)
     contexts = await ops.EXECUTORS[ENV](ws)
-    nodes = [op for op in ws.nodes if op.data.title == "Chat API"]
+    nodes = [op for op in ws.nodes if op.data.title == "LynxScribe RAG Graph Chatbot Backend"]
     [node] = nodes
     context = contexts[node.id]
     return context.last_result["chat_api"]