diff --git a/backend/ee/danswer/main.py b/backend/ee/danswer/main.py
index d0ad89c6246..7fe78a07315 100644
--- a/backend/ee/danswer/main.py
+++ b/backend/ee/danswer/main.py
@@ -18,6 +18,9 @@ from danswer.utils.variable_functionality import global_version
 from ee.danswer.configs.app_configs import OPENID_CONFIG_URL
 from ee.danswer.server.analytics.api import router as analytics_router
 from ee.danswer.server.api_key.api import router as api_key_router
+from ee.danswer.server.query_and_chat.query_backend import (
+    basic_router as chat_query_router,
+)
 from ee.danswer.server.query_history.api import router as query_history_router
 from ee.danswer.server.saml import router as saml_router
 from ee.danswer.server.user_group.api import router as user_group_router
@@ -57,11 +60,13 @@ def get_ee_application() -> FastAPI:
 
     # RBAC / group access control
     application.include_router(user_group_router)
-    # analytics endpoints
+    # Analytics endpoints
     application.include_router(analytics_router)
     application.include_router(query_history_router)
-    # api key management
+    # Api key management
     application.include_router(api_key_router)
+    # EE only backend APIs
+    application.include_router(chat_query_router)
 
     return application
 
diff --git a/backend/ee/danswer/server/query_and_chat/__init__.py b/backend/ee/danswer/server/query_and_chat/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/backend/ee/danswer/server/query_and_chat/query_backend.py b/backend/ee/danswer/server/query_and_chat/query_backend.py
new file mode 100644
index 00000000000..7f2b1dd7a4c
--- /dev/null
+++ b/backend/ee/danswer/server/query_and_chat/query_backend.py
@@ -0,0 +1,71 @@
+from fastapi import APIRouter
+from fastapi import Depends
+from sqlalchemy.orm import Session
+
+from danswer.auth.users import current_user
+from danswer.configs.chat_configs import DISABLE_LLM_CHUNK_FILTER
+from danswer.db.engine import get_session
+from danswer.db.models import User
+from danswer.document_index.factory import get_default_document_index
+from danswer.search.access_filters import build_access_filters_for_user
+from danswer.search.models import IndexFilters
+from danswer.search.models import SavedSearchDoc
+from danswer.search.models import SearchQuery
+from danswer.search.models import SearchResponse
+from danswer.search.search_runner import chunks_to_search_docs
+from danswer.search.search_runner import full_chunk_search
+from danswer.server.query_and_chat.models import DocumentSearchRequest
+from danswer.utils.logger import setup_logger
+
+
+logger = setup_logger()
+basic_router = APIRouter(prefix="/query")
+
+
+@basic_router.post("/document-search")
+def handle_search_request(
+    search_request: DocumentSearchRequest,
+    user: User | None = Depends(current_user),
+    db_session: Session = Depends(get_session),
+    # Default to running LLM filter unless globally disabled
+    disable_llm_chunk_filter: bool = DISABLE_LLM_CHUNK_FILTER,
+) -> SearchResponse:
+    """Simple search endpoint, does not create a new message or records in the DB"""
+    query = search_request.message
+    filters = search_request.retrieval_options.filters
+
+    logger.info(f"Received document search query: {query}")
+
+    user_acl_filters = build_access_filters_for_user(user, db_session)
+    final_filters = IndexFilters(
+        source_type=filters.source_type if filters else None,
+        document_set=filters.document_set if filters else None,
+        time_cutoff=filters.time_cutoff if filters else None,
+        access_control_list=user_acl_filters,
+    )
+
+    search_query = SearchQuery(
+        query=query,
+        search_type=search_request.search_type,
+        filters=final_filters,
+        recency_bias_multiplier=search_request.recency_bias_multiplier,
+        skip_rerank=search_request.skip_rerank,
+        skip_llm_chunk_filter=disable_llm_chunk_filter,
+    )
+
+    top_chunks, llm_selection = full_chunk_search(
+        query=search_query,
+        document_index=get_default_document_index(),
+    )
+
+    top_docs = chunks_to_search_docs(top_chunks)
+    llm_selection_indices = [
+        index for index, value in enumerate(llm_selection) if value
+    ]
+
+    # No need to save the docs for this API
+    fake_saved_docs = [SavedSearchDoc.from_search_doc(doc) for doc in top_docs]
+
+    return SearchResponse(
+        top_documents=fake_saved_docs, llm_indices=llm_selection_indices
+    )