janhq/jan · error · VectorDBError

InvalidInput

InvalidInput

Error message

Invalid input: {0}

What it means

VectorDBError::InvalidInput is raised by the vector-db plugin when caller-supplied arguments fail validation before reaching SQLite. The message interpolates the offending value or reason, e.g. 'Invalid input: embedding dimension mismatch'.

Solutions

1. Read the interpolated message to see which input was rejected
2. Validate vector dimensions match the collection's configured dimension before calling
3. Ensure query strings and IDs are non-empty and correctly typed in the Tauri invoke payload
4. Fix the frontend to omit undefined fields rather than sending empty values

Example fix

// before
invoke('vector_search', { query: text, vector: embedding });
// after
if (!text || embedding.length !== expectedDim) throw new Error('invalid search input');
invoke('vector_search', { query: text, vector: embedding });

function validateSearchInput(text: string, vector: number[], dim: number): string | null {
  if (!text.trim()) return 'empty query';
  if (vector.length !== dim) return `dim mismatch: ${vector.length} != ${dim}`;
  return null;
}

function isValidVector(v: unknown, dim: number): v is number[] {
  return Array.isArray(v) && v.length === dim && v.every((n) => typeof n === 'number' && Number.isFinite(n));
}

When it happens

Trigger: Calling a plugin command with an empty query string, a vector whose dimension does not match the stored collection, or out-of-range parameters (limit <= 0, malformed JSON payload).

Common situations: Client sends embeddings computed with a different model than the collection was built with; empty search text; frontend passing undefined/null fields that serialize as empty strings.

Understand the failure class

Background: "Must be a positive integer", "Invalid value", "Unsupported": the invalid-argument-value error family, when a library rejects the value you pass — this error's family across 35 libraries.

Related errors

• DatabaseError
• Invalid argument
• Unsupported file type
• <Utf8Error>
• WebSearchError

AI-assisted analysis of janhq/jan@7205d770c1 (2026-09-17). Data as JSON: /api/errors/e0195fe09b721a03. Report an issue: GitHub.

Appendix: source

Thrown at src-tauri/plugins/tauri-plugin-vector-db/src/error.rs:8

use serde::{Deserialize, Serialize};

#[derive(Debug, thiserror::Error, Serialize, Deserialize)]
pub enum VectorDBError {
    #[error("Database error: {0}")]
    DatabaseError(String),

    #[error("Invalid input: {0}")]
    InvalidInput(String),
}

impl From<rusqlite::Error> for VectorDBError {
    fn from(err: rusqlite::Error) -> Self {
        VectorDBError::DatabaseError(err.to_string())
    }
}

impl From<serde_json::Error> for VectorDBError {
    fn from(err: serde_json::Error) -> Self {
        VectorDBError::DatabaseError(err.to_string())
    }
}

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