Create metadata_filtering.py

metadata_filtering.py

@@ -0,0 +1,24 @@
+from llama_index.core.vector_stores import (
+    MetadataFilters,
+    MetadataFilter,
+    FilterOperator,
+    FilterCondition,
+)
+
+def build_filters_from_query(query: str):
+    terms = [t.lower() for t in query.split() if len(t) > 2]
+
+    if not terms:
+        return None
+
+    return MetadataFilters(
+        filters=[
+            MetadataFilter(
+                key="excerpt_keywords",
+                operator=FilterOperator.TEXT_MATCH,
+                value=term,
+            )
+            for term in terms
+        ],
+        condition=FilterCondition.OR
+    )