Allow file selector to be disabled

docs/usage.md

@@ -128,9 +128,12 @@ Now navigate back to the `Chat` tab. The chat tab is divided into 3 regions:
 1. Conversation Settings Panel
    - Here you can select, create, rename, and delete conversations.
      - By default, a new conversation is created automatically if no conversation is selected.
-   - Below that you have the file index, where you can select which files to retrieve references from.
-     - These are the files you have uploaded to the application from the `File Index` tab.
-     - If no file is selected, all files will be used.
+   - Below that you have the file index, where you can choose whether to disable, select all files, or select which files to retrieve references from.
+     - If you choose "Disabled", no files will be considered as context during chat.
+     - If you choose "Search All", all files will be considered during chat.
+     - If you choose "Select", a dropdown will appear for you to select the
+       files to be considered during chat. If no files are selected, then no
+       files will be considered during chat.
 2. Chat Panel
    - This is where you can chat with the chatbot.
 3. Information panel

libs/ktem/ktem/assets/md/usage.md

@@ -128,9 +128,12 @@ Now navigate back to the `Chat` tab. The chat tab is divided into 3 regions:
 1. Conversation Settings Panel
    - Here you can select, create, rename, and delete conversations.
      - By default, a new conversation is created automatically if no conversation is selected.
-   - Below that you have the file index, where you can select which files to retrieve references from.
-     - These are the files you have uploaded to the application from the `File Index` tab.
-     - If no file is selected, all files will be used.
+   - Below that you have the file index, where you can choose whether to disable, select all files, or select which files to retrieve references from.
+     - If you choose "Disabled", no files will be considered as context during chat.
+     - If you choose "Search All", all files will be considered during chat.
+     - If you choose "Select", a dropdown will appear for you to select the
+       files to be considered during chat. If no files are selected, then no
+       files will be considered during chat.
 2. Chat Panel
    - This is where you can chat with the chatbot.
 3. Information panel

libs/ktem/ktem/index/file/pipelines.py

@@ -67,58 +67,63 @@ class DocumentRetrievalPipeline(BaseFileIndexRetriever):
             documents
         get_extra_table: if True, for each retrieved document, the pipeline will look
             for surrounding tables (e.g. within the page)
+        top_k: number of documents to retrieve
+        mmr: whether to use mmr to re-rank the documents
     """
 
     vector_retrieval: VectorRetrieval = VectorRetrieval.withx()
     reranker: BaseReranking
     get_extra_table: bool = False
+    mmr: bool = False
+    top_k: int = 5
 
     def run(
         self,
         text: str,
-        top_k: int = 5,
-        mmr: bool = False,
         doc_ids: Optional[list[str]] = None,
+        *args,
+        **kwargs,
     ) -> list[RetrievedDocument]:
         """Retrieve document excerpts similar to the text
 
         Args:
             text: the text to retrieve similar documents
-            top_k: number of documents to retrieve
-            mmr: whether to use mmr to re-rank the documents
             doc_ids: list of document ids to constraint the retrieval
         """
+        if not doc_ids:
+            logger.info(f"Skip retrieval because of no selected files: {self}")
+            return []
+
         Index = self._Index
 
-        kwargs = {}
-        if doc_ids:
-            with Session(engine) as session:
-                stmt = select(Index).where(
-                    Index.relation_type == "vector",
-                    Index.source_id.in_(doc_ids),  # type: ignore
-                )
-                results = session.execute(stmt)
-                vs_ids = [r[0].target_id for r in results.all()]
-
-            kwargs["filters"] = MetadataFilters(
-                filters=[
-                    MetadataFilter(
-                        key="doc_id",
-                        value=vs_id,
-                        operator=FilterOperator.EQ,
-                    )
-                    for vs_id in vs_ids
-                ],
-                condition=FilterCondition.OR,
+        retrieval_kwargs = {}
+        with Session(engine) as session:
+            stmt = select(Index).where(
+                Index.relation_type == "vector",
+                Index.source_id.in_(doc_ids),  # type: ignore
             )
+            results = session.execute(stmt)
+            vs_ids = [r[0].target_id for r in results.all()]
+
+        retrieval_kwargs["filters"] = MetadataFilters(
+            filters=[
+                MetadataFilter(
+                    key="doc_id",
+                    value=vs_id,
+                    operator=FilterOperator.EQ,
+                )
+                for vs_id in vs_ids
+            ],
+            condition=FilterCondition.OR,
+        )
 
-        if mmr:
+        if self.mmr:
             # TODO: double check that llama-index MMR works correctly
-            kwargs["mode"] = VectorStoreQueryMode.MMR
-            kwargs["mmr_threshold"] = 0.5
+            retrieval_kwargs["mode"] = VectorStoreQueryMode.MMR
+            retrieval_kwargs["mmr_threshold"] = 0.5
 
         # rerank
-        docs = self.vector_retrieval(text=text, top_k=top_k, **kwargs)
+        docs = self.vector_retrieval(text=text, top_k=self.top_k, **retrieval_kwargs)
         if docs and self.get_from_path("reranker"):
             docs = self.reranker(docs, query=text)
 
@@ -221,18 +226,16 @@ def get_pipeline(cls, user_settings, index_settings, selected):
         retriever = cls(
             get_extra_table=user_settings["prioritize_table"],
             reranker=user_settings["reranking_llm"],
+            top_k=user_settings["num_retrieval"],
+            mmr=user_settings["mmr"],
         )
         if not user_settings["use_reranking"]:
             retriever.reranker = None  # type: ignore
 
         retriever.vector_retrieval.embedding = embedding_models_manager[
             index_settings.get("embedding", embedding_models_manager.get_default_name())
         ]
-        kwargs = {
-            ".top_k": int(user_settings["num_retrieval"]),
-            ".mmr": user_settings["mmr"],
-            ".doc_ids": selected,
-        }
+        kwargs = {".doc_ids": selected}
         retriever.set_run(kwargs, temp=True)
         return retriever
 

libs/ktem/ktem/index/file/ui.py

@@ -512,20 +512,55 @@ def __init__(self, app, index):
         self._index = index
         self.on_building_ui()
 
+    def default(self):
+        return "disabled", []
+
     def on_building_ui(self):
+        default_mode, default_selector = self.default()
+
+        self.mode = gr.Radio(
+            value=default_mode,
+            choices=[
+                ("Disabled", "disabled"),
+                ("Search All", "all"),
+                ("Select", "select"),
+            ],
+            container=False,
+        )
         self.selector = gr.Dropdown(
             label="Files",
-            choices=[],
+            choices=default_selector,
             multiselect=True,
             container=False,
             interactive=True,
+            visible=False,
+        )
+
+    def on_register_events(self):
+        self.mode.change(
+            fn=lambda mode: gr.update(visible=mode == "select"),
+            inputs=[self.mode],
+            outputs=[self.selector],
         )
 
     def as_gradio_component(self):
-        return self.selector
+        return [self.mode, self.selector]
+
+    def get_selected_ids(self, components):
+        mode, selected = components[0], components[1]
+        if mode == "disabled":
+            return []
+        elif mode == "select":
+            return selected
+
+        file_ids = []
+        with Session(engine) as session:
+            statement = select(self._index._resources["Source"].id)
+            results = session.execute(statement).all()
+            for (id,) in results:
+                file_ids.append(id)
 
-    def get_selected_ids(self, selected):
-        return selected
+        return file_ids
 
     def load_files(self, selected_files):
         options = []

libs/ktem/ktem/pages/chat/__init__.py

@@ -52,9 +52,11 @@ def on_building_ui(self):
                                         len(self._indices_input) + len(gr_index),
                                     )
                                 )
+                                index.default_selector = index_ui.default()
                                 self._indices_input.extend(gr_index)
                             else:
                                 index.selector = len(self._indices_input)
+                                index.default_selector = index_ui.default()
                                 self._indices_input.append(gr_index)
                         setattr(self, f"_index_{index.id}", index_ui)
 

libs/ktem/ktem/pages/chat/control.py

@@ -156,9 +156,9 @@ def select_conv(self, conversation_id):
             if index.selector is None:
                 continue
             if isinstance(index.selector, int):
-                indices.append(selected.get(str(index.id), []))
+                indices.append(selected.get(str(index.id), index.default_selector))
             if isinstance(index.selector, tuple):
-                indices.extend(selected.get(str(index.id), [[]] * len(index.selector)))
+                indices.extend(selected.get(str(index.id), index.default_selector))
 
         return id_, id_, name, chats, info_panel, state, *indices