Fix chunk finder

src/graph/nodes/parse_output.py

@@ -39,11 +39,29 @@ def parse_output_node(state: EmailGenerationState) -> EmailGenerationState:
         subject = _validate_subject(subject)
         body = _validate_body(body)
 
+        ranked_context = state.get("ranked_context")
+        real_chunk_ids = []
+        
+        if isinstance(used_chunks, list) and ranked_context:
+            for chunk_idx in used_chunks:
+                try:
+                    idx = int(chunk_idx) - 1
+                    if 0 <= idx < len(ranked_context.chunks):
+                        chunk = ranked_context.chunks[idx]
+                        chunk_info = f"{chunk.parent_doc_id}#{chunk.chunk_id}"
+                        real_chunk_ids.append(chunk_info)
+                    else:
+                        real_chunk_ids.append(str(chunk_idx))
+                except (ValueError, TypeError):
+                    real_chunk_ids.append(str(chunk_idx))
+        else:
+            real_chunk_ids = []
+
         email_draft = EmailDraft(
             subject=subject,
             body=body,
             short_reasoning=short_reasoning,
-            used_chunks=used_chunks if isinstance(used_chunks, list) else [],
+            used_chunks=real_chunk_ids,
         )
 
         state["email_draft"] = email_draft

src/services/retrieval.py

@@ -70,12 +70,7 @@ class RetrievalService:
 
         text_query = " ".join(search_terms)
 
-        metadata_filters = {}
-        if lead_features.industry_tag != "other":
-            metadata_filters["$or"] = [
-                {"industry": {"$contains": lead_features.industry_tag}},
-                {"roles_relevant": {"$contains": lead_features.role_category}},
-            ]
+        metadata_filters = None
 
         return RetrievalQuery(
             text_query=text_query,
@@ -155,9 +150,12 @@ class RetrievalService:
             if chunk.metadata.get("metrics"):
                 metrics = chunk.metadata["metrics"]
                 metrics_parts = []
+                if isinstance(metrics, dict):
                     for key, value in metrics.items():
                         if isinstance(value, (int, float)):
                             metrics_parts.append(f"{key}: {value}")
+                elif isinstance(metrics, str):
+                    metrics_parts.append(metrics)
                 if metrics_parts:
                     metrics_info = f" ({', '.join(metrics_parts)})"