……
class VectorDB:
    def __init__(self):
        self.arr = np.array([])
        self.metadata = []

    def insert(self, values, metadata):
        values = np.array(values)
        # concat
        if len(self.arr) > 0:
            self.arr = np.concatenate([self.arr, values])
        else:
            self.arr = values
        self.metadata.extend(metadata)

    def save(self, filename=None):
        if filename is None:
            filename = "embs/embs_" + settings["EMBED"].lower()
            if not os.path.exists("embs"):
                os.mkdir("embs")
        dump_numpy_safe(self.arr, filename + ".npy")
        dump_json_safe(self.metadata, filename + ".json")

    def load(self, filename=None):
        if filename is None:
            filename = "embs/embs_" + settings["EMBED"].lower()
        try:
            with open(filename + ".npy", "rb") as f:
                self.arr = np.load(f)
            with open(filename + ".json") as f:
                self.metadata = json.load(f)
            if len(self.arr) != len(self.metadata):
                raise Exception("length mismatch, corrupted db")
        except Exception as e:
            print("failed to load embs:", e)
        return self

    def query_nearest(self, emb, dedup=lambda t: t[1], k=10):
        sims = np.dot(self.arr, emb)
        topk = np.argsort(sims)[::-1]
        nearest = []
        keys = set()
        for i in topk:
            if dedup is not None:
                key = dedup(self.metadata[i])
                if key in keys:
                    continue
                keys.add(key)
            nearest.append((sims[i], self.metadata[i]))
            if len(nearest) >= k:
                break
        return nearest

运行时报错：

Traceback (most recent call last):
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\gradio\queueing.py", line 541, in process_events
    response = await route_utils.call_process_api(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
    output = await app.get_blocks().process_api(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\HP\AppData\Local\Programs\Python\Python311\Lib\site-packages\gradio\blocks.py", line 1928, in process_api
    result = await self.call_function(
             ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\gradio\blocks.py", line 1514, in call_function
    prediction = await anyio.to_thread.run_sync(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
           ^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
             ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\**\AppData\Local\Programs\Python\Python311\Lib\site-packages\gradio\utils.py", line 833, in wrapper
    response = f(*args, **kwargs)
               ^^^^^^^^^^^^^^^^^^
  File "F:\**.py", line 48, in querier
    nearest = db.query_nearest(emb, k=topk)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "F:\**.py", line 100, in query_nearest
    sims = np.dot(self.arr, emb)
           ^^^^^^^^^^^^^^^^^^^^^
ValueError: shapes (0,) and (3072,) not aligned: 0 (dim 0) != 3072 (dim 0)