diff --git a/components/knowledge_engine/langrag.py b/components/knowledge_engine/langrag.py
index c9b204d..fd0a7ab 100644
--- a/components/knowledge_engine/langrag.py
+++ b/components/knowledge_engine/langrag.py
@@ -1,4 +1,5 @@
 import logging
+import uuid
 
 from langbot_plugin.api.definition.components.knowledge_engine import (
     KnowledgeEngine,
@@ -33,6 +34,34 @@ def _query_log_ref(query: str | None) -> str:
     return f"hash={hash_text(query)}, length={len(query or '')}"
 
 
+def _new_span_id() -> str:
+    return f"span-{uuid.uuid4().hex[:16]}"
+
+
+def _trace_spans_from_stages(
+    stage_durations: dict[str, float],
+    parent_span_id: str | None,
+    base_attributes: dict | None = None,
+) -> list[dict]:
+    spans: list[dict] = []
+    for stage, duration_ms in stage_durations.items():
+        spans.append(
+            {
+                "span_id": _new_span_id(),
+                "parent_span_id": parent_span_id,
+                "name": stage,
+                "kind": "rag.stage",
+                "status": "success",
+                "duration_ms": duration_ms,
+                "attributes": {
+                    **(base_attributes or {}),
+                    "stage": stage,
+                },
+            }
+        )
+    return spans
+
+
 class LangRAG(KnowledgeEngine):
     """Simple Knowledge Engine implementation using Plugin IPC.
 
@@ -477,7 +506,23 @@ async def ingest(self, context: IngestionContext) -> IngestionResult:
     async def retrieve(self, context: RetrievalContext) -> RetrievalResponse:
         """Retrieve relevant content with support for vector, full-text, and hybrid search."""
         started_at = telemetry.start_timer()
-        trace_id = telemetry.new_trace_id("retrieval")
+        host_trace_context = getattr(context, "trace_context", None)
+        host_trace_context_data = (
+            host_trace_context.model_dump()
+            if hasattr(host_trace_context, "model_dump")
+            else (host_trace_context or {})
+        )
+        host_parent_span_id = (
+            host_trace_context_data.get("parent_span_id")
+            if isinstance(host_trace_context_data, dict)
+            else None
+        )
+        trace_id = (
+            host_trace_context_data.get("trace_id")
+            if isinstance(host_trace_context_data, dict)
+            and host_trace_context_data.get("trace_id")
+            else telemetry.new_trace_id("retrieval")
+        )
         stage_durations: dict[str, float] = {}
         query = context.query
         top_k = context.retrieval_settings.get("top_k", 5)
@@ -785,8 +830,27 @@ async def retrieve(self, context: RetrievalContext) -> RetrievalResponse:
                 total_found=len(entries),
                 metadata={
                     "trace_id": trace_id,
+                    "status": telemetry_status,
+                    "duration_ms": telemetry.elapsed_ms(started_at),
                     "raw_count": raw_count,
+                    "result_count": result_count,
+                    "reference_count": reference_count,
+                    "distance_min": distance_min,
+                    "distance_avg": distance_avg,
+                    "distance_max": distance_max,
                     "stage_durations_ms": stage_durations,
+                    "trace_spans": _trace_spans_from_stages(
+                        stage_durations,
+                        parent_span_id=host_parent_span_id,
+                        base_attributes={
+                            "query_hash": hash_text(query),
+                            "query_length": len(query or ""),
+                            "collection_id_hash": hash_text(collection_id),
+                            "knowledge_base_id_hash": hash_text(
+                                context.knowledge_base_id
+                            ),
+                        },
+                    ),
                 },
             )
         except Exception as e: