mem0ai/mem0 · error · ValueError

Invalid configuration: {str(e)}

Error message

Invalid configuration: {str(e)}

What it means

Error "Invalid configuration: {str(e)}" thrown in mem0ai/mem0.

Source

Thrown at mem0/vector_stores/vertex_ai_vector_search.py:103

        except Exception as e:
            logger.error("Failed to initialize Vertex AI: %s", str(e))
            raise

        try:
            # Format the index path properly using the configured index_id
            index_path = f"projects/{self.project_number}/locations/{self.region}/indexes/{self.index_id}"
            logger.debug("Initializing index with path: %s", index_path)
            self.index = aiplatform.MatchingEngineIndex(index_name=index_path)
            logger.debug("Index initialized successfully")

            # Format the endpoint name properly
            endpoint_name = self.endpoint_id
            logger.debug("Initializing endpoint with name: %s", endpoint_name)
            self.index_endpoint = aiplatform.MatchingEngineIndexEndpoint(index_endpoint_name=endpoint_name)
            logger.debug("Endpoint initialized successfully")
        except Exception as e:
            logger.error("Failed to initialize Matching Engine components: %s", str(e))
            raise ValueError(f"Invalid configuration: {str(e)}")

    def _parse_output(self, data: Dict) -> List[OutputData]:
        """
        Parse the output data.
        Args:
            data (Dict): Output data.
        Returns:
            List[OutputData]: Parsed output data.
        """
        results = data.get("nearestNeighbors", {}).get("neighbors", [])
        output_data = []
        for result in results:
            raw_distance = result.get("distance")
            score = max(0.0, 1.0 - raw_distance) if raw_distance is not None else None
            output_data.append(
                OutputData(
                    id=result.get("datapoint").get("datapointId"),
                    score=score,

View on GitHub (pinned to 001c235229)

Solutions

  1. Fix the Vertex AI Vector Search configuration values reported in the exception (project, location, index/endpoint IDs).

When it happens

Trigger: Thrown at mem0/vector_stores/vertex_ai_vector_search.py:103 when the library encounters an invalid state.

Common situations: See trigger scenarios.


AI-assisted analysis of mem0ai/mem0@001c235229 (2026-08-15). Data as JSON: /api/errors/9b7a36710606f910. Report an issue: GitHub.