MemPalace/mempalace · error · DimensionMismatchError

milvus collection {self._collection_name!r} expects embeddin

Error message

milvus collection {self._collection_name!r} expects embedding dimension {remote_dim}, got {dimension}

What it means

Error "milvus collection {self._collection_name!r} expects embedding dimension {remote_dim}, got {dimension}" thrown in MemPalace/mempalace.

Source

Thrown at mempalace/backends/milvus.py:417

                        f"milvus collection {self._collection_name!r} expects "
                        f"embedding dimension {self._known_dimension}, got {dimension}"
                    )
                return
            if not self._remote_exists():
                self._backend._create_remote_collection(
                    self._client,
                    self._remote_collection,
                    dimension,
                    consistency_level=self._config.consistency_level,
                )
                self._backend._load_remote_collection(self._client, self._remote_collection)
                self._known_dimension = dimension
                self._known_native_lexical = True
                self._backend._write_marker(self._palace, self._config)
                return
            remote_dim = self._remote_dimension()
            if remote_dim is not None and remote_dim != dimension:
                raise DimensionMismatchError(
                    f"milvus collection {self._collection_name!r} expects "
                    f"embedding dimension {remote_dim}, got {dimension}"
                )
            self._known_dimension = remote_dim or dimension

    def _has_native_lexical(self) -> bool:
        if self._known_native_lexical is not None:
            return self._known_native_lexical
        if not self._remote_exists():
            self._known_native_lexical = False
            return False
        try:
            info = self._client.describe_collection(self._remote_collection)
        except Exception:
            logger.debug("Milvus describe_collection failed", exc_info=True)
            self._known_native_lexical = False
            return False
        fields = []

View on GitHub (pinned to 06cb6987f0)

Solutions

1. Re-embed the palace with the matching embedding model, or drop and recreate the remote milvus collection with the expected dimension

When it happens

Trigger: Thrown at mempalace/backends/milvus.py:417 when the library encounters an invalid state.

Common situations: Remote collection was built with a different embedding dimension than the current embedder produces.

AI-assisted analysis of MemPalace/mempalace@06cb6987f0 (2026-08-15). Data as JSON: /api/errors/192cf0561ec1750a. Report an issue: GitHub.