backport search logic

Signed-off-by: Alex Co <alex.tuan@mindvalley.com>

backend/danswer/context/search/enums.py

@@ -0,0 +1,36 @@
+"""NOTE: this needs to be separate from models.py because of circular imports.
+Both search/models.py and db/models.py import enums from this file AND
+search/models.py imports from db/models.py."""
+from enum import Enum
+
+
+class RecencyBiasSetting(str, Enum):
+    FAVOR_RECENT = "favor_recent"  # 2x decay rate
+    BASE_DECAY = "base_decay"
+    NO_DECAY = "no_decay"
+    # Determine based on query if to use base_decay or favor_recent
+    AUTO = "auto"
+
+
+class OptionalSearchSetting(str, Enum):
+    ALWAYS = "always"
+    NEVER = "never"
+    # Determine whether to run search based on history and latest query
+    AUTO = "auto"
+
+
+class SearchType(str, Enum):
+    KEYWORD = "keyword"
+    SEMANTIC = "semantic"
+
+
+class LLMEvaluationType(str, Enum):
+    AGENTIC = "agentic"  # applies agentic evaluation
+    BASIC = "basic"  # applies boolean evaluation
+    SKIP = "skip"  # skips evaluation
+    UNSPECIFIED = "unspecified"  # reverts to default
+
+
+class QueryFlow(str, Enum):
+    SEARCH = "search"
+    QUESTION_ANSWER = "question-answer"