Introducing the File Search Tool in Gemini API

[mysubcult]

https://blog.google/technology/developers/file-search-gemini-api/

Remi, please, please, implement this in LHC. 🙏🙏🙏

[remdex]

There is nothing to implement on my side. You can just upload files with some curl commands/shell script. There should be some ui to manage vector storages in google ai studio. Then you just modify rest api call in lhc back office and that's all.

[mysubcult]

There is nothing to implement on my side. You can just upload files with some curl commands/shell script. There should be some ui to manage vector storages in google ai studio. Then you just modify rest api call in lhc back office and that's all.

Well, as I understand it, now you can do the same as you did with integration chatgpt. And now you can use vector storage for Gemini for free. As I understand it, quite a lot of changes need to be made and changes need to be made in bot rest API Gemini. It will be much cooler than using meilisearch. I think a lot of people will be grateful to you if you help them do this and make documentation. 🙏🙏🙏

[mysubcult]

There is nothing to implement on my side. You can just upload files with some curl commands/shell script. There should be some ui to manage vector storages in google ai studio. Then you just modify rest api call in lhc back office and that's all.

I've created a simple test script that works on the free tier for uploading and searching. It works like a dream. I hope you will be able to help me update the Rest API for Gemini 🙏🙏🙏🙏🙏🙏🙏🙏🙏:

# interactive_rag_chat.py
# A user-friendly, interactive command-line tool to manage and chat with your documents 
# using the efficient Gemini File Search (RAG) API.

import google.genai as genai
from google.genai import types
import time
import os

# --- CONFIGURATION ---
API_KEY = "GEMINI_API_KEY" 
client = genai.Client(api_key=API_KEY)

# --- HELPER & CORE FUNCTIONS ---

def select_store_from_list():
    """
    Lists all available File Search Stores and prompts the user to select one by number.
    Returns the selected file object or None if no selection is made.
    """
    print("\n--- Please Select a File Store ---")
    try:
        all_stores = list(client.file_search_stores.list())
        if not all_stores:
            print("You haven't created any file stores yet. Please upload a file first.")
            return None

        for i, store in enumerate(all_stores, 1):
            print(f"{i}. Display Name: {store.display_name}, ID: {store.name}")
        
        choice_str = input("\nEnter the number of the store you want to use: ")
        
        choice_int = int(choice_str)
        if 1 <= choice_int <= len(all_stores):
            return all_stores[choice_int - 1]
        else:
            print("\n[Error] Invalid number. Please select a number from the list.")
            return None
            
    except ValueError:
        print("\n[Error] Invalid input. Please enter a number.")
        return None
    except Exception as e:
        print(f"\n[Error] Could not retrieve the store list: {e}")
        return None

def upload_and_index_file():
    """Uploads a local file and indexes it in a new File Search Store for RAG."""
    file_path = input("Enter the path to the file to upload (e.g., smartdiag_docs.md): ")
    if not os.path.exists(file_path):
        print("\n[Error] File not found. Please check the path.")
        return
    if not file_path.isascii():
         print("\n[Warning] The filename contains non-English characters. This can cause issues.")
         print("It's highly recommended to rename the file before uploading (e.g., 'my_document.md').")
         confirmation = input("Continue anyway? (yes/no): ")
         if confirmation.lower() != 'yes':
              print("Upload cancelled.")
              return
    store_display_name = input("Enter a display name for this file's store (e.g., 'SmartDiag Docs'): ")
    file_search_store = None
    try:
        print("\n1. Creating a new File Search Store...")
        file_search_store = client.file_search_stores.create(
            config={'display_name': store_display_name}
        )
        print(f"2. Uploading and indexing '{file_path}'... This may take a moment.")
        
        # --- ОКОНЧАТЕЛЬНОЕ ИСПРАВЛЕНИЕ ---
        # Эта функция возвращает ИМЯ операции как СТРОКУ. Присваиваем ее напрямую.
        operation_name = client.file_search_stores.upload_to_file_search_store(
            file=file_path,
            file_search_store_name=file_search_store.name,
        )
        # ---------------------------------
        
        print(f"Processing file... Operation Name: {operation_name}. Waiting for completion.")
        
        final_operation_result = None
        while True:
            # Используем имя-строку для получения статуса
            current_operation = client.operations.get(operation_name)
            if current_operation.done:
                final_operation_result = current_operation
                break 
            time.sleep(5)
        
        # Проверяем финальный результат на наличие поля 'error'
        if hasattr(final_operation_result, 'error') and final_operation_result.error is not None:
             raise Exception(f"File processing failed. Details: {final_operation_result.error}")

        print("File has been successfully indexed and is ready for Smart Search!")
    except Exception as e:
        print(f"\n[Error] An error occurred during the process: {e}")
        if file_search_store:
            client.file_search_stores.delete(name=file_search_store.name, config={'force': True})
            print(f"Cleaned up partially created store: {file_search_store.name}")

def delete_store():
    """Lets the user select a File Search Store from a list to delete after confirmation."""
    selected_store = select_store_from_list()
    if not selected_store:
        print("[Action Cancelled] No store was selected for deletion.")
        return
    confirmation = input(f"\nAre you sure you want to PERMANENTLY delete the store '{selected_store.display_name}'? (yes/no): ")
    if confirmation.lower() == 'yes':
        try:
            print(f"\nDeleting store {selected_store.name}...")
            client.file_search_stores.delete(name=selected_store.name, config={'force': True})
            print("Store deleted successfully.")
        except Exception as e:
            print(f"\n[Error] Could not delete the store. Details: {e}")
    else:
        print("\nDeletion cancelled.")

def chat_with_store():
    """Lets the user select a File Search Store and starts an efficient RAG chat session."""
    selected_store = select_store_from_list()
    if not selected_store:
        print("[Action Cancelled] No store was selected for chat.")
        return
    print(f"\nSuccess! Starting Smart Search chat with '{selected_store.display_name}'.")
    print("The entire file is NOT sent with each question, making this very efficient.")
    print("Type 'exit' or 'quit' to return to the main menu.")
    print("-" * 25)
    while True:
        user_question = input("Your Question: ")
        if user_question.lower() in ['exit', 'quit']:
            print("\nReturning to the main menu...")
            break
        try:
            response = client.models.generate_content(
                model="gemini-2.5-flash",
                contents=user_question,
                config=types.GenerateContentConfig(
                    tools=[types.Tool(
                        file_search=types.FileSearch(
                            file_search_store_names=[selected_store.name]
                        )
                    )]
                )
            )
            print(f"Gemini: {response.text}\n")
        except Exception as e:
            print(f"\n[Error during generation] An error occurred: {e}")

# --- MAIN MENU ---

def main_menu():
    """Displays the main menu and handles user interaction."""
    print("Welcome to the Interactive RAG Chat with Gemini File Search!")
    while True:
        print("\n--- Main Menu ---")
        print("1. Upload and Index a new file for Smart Search")
        print("2. Chat with an indexed file (Smart Search)")
        print("3. Delete a File Store")
        print("4. Exit program")
        choice = input("Please choose an option (1-4): ")
        if choice == '1':
            upload_and_index_file()
        elif choice == '2':
            chat_with_store()
        elif choice == '3':
            delete_store()
        elif choice == '4':
            print("\nThank you for using the script. Goodbye!")
            break
        else:
            print("\n[Error] Invalid choice. Please enter a number between 1 and 4.")

# --- SCRIPT ENTRY POINT ---
if __name__ == "__main__":
    main_menu()```

[mysubcult]

I tried to do it, but I need huge changes to the REST API, it's not as simple as it turned out, my skills are not enough.
As I understand it, the easiest way is to make it based on the existing ChatGPT module.

[remdex]

Thats completely false statement.