mem0ai/mem0 · error · Error

Failed to update vector: ${response.status} ${errorText}

Error message

Failed to update vector: ${response.status} ${errorText}

What it means

The Vectorize store updates vectors by POSTing a single-record NDJSON body to the Cloudflare upsert endpoint. When the HTTP response is not ok, it throws with the status and body text. Note the update path posts JSON.stringify(data), so a payload-shape or dimension problem surfaces here as a 400 with Cloudflare's validation message.

Source

Thrown at mem0-ts/src/oss/src/vector_stores/vectorize.ts:179

        values: vector,
        metadata: payload,
      };

      const response = await fetch(
        `https://api.cloudflare.com/client/v4/accounts/${this.accountId}/vectorize/v2/indexes/${this.indexName}/upsert`,
        {
          method: "POST",
          headers: {
            "Content-Type": "application/x-ndjson",
            Authorization: `Bearer ${this.client?.apiToken}`,
          },
          body: JSON.stringify(data) + "\n", // ndjson format
        },
      );

      if (!response.ok) {
        const errorText = await response.text();
        throw new Error(
          `Failed to update vector: ${response.status} ${errorText}`,
        );
      }
    } catch (error) {
      console.error("Error updating vector:", error);
      throw new Error(
        `Failed to update vector: ${error instanceof Error ? error.message : String(error)}`,
      );
    }
  }

  async delete(vectorId: string): Promise<void> {
    await this.initialize();
    try {
      await this.client?.vectorize.indexes.deleteByIds(this.indexName, {
        account_id: this.accountId,
        ids: [vectorId],
      });

View on GitHub (pinned to 001c235229)

Solutions

1. Match the 400 error text: dimension errors -> ensure the updated vector length equals the index dims.
2. 401/403 -> token needs Vectorize edit/write permission.
3. 404 -> verify accountId and indexName.

if (vector && vector.length !== indexDims) throw new Error(`Update vector has ${vector.length} dims; index expects ${indexDims}`);

try { await memory.update(id, data); } catch (e) { if (e instanceof Error && e.message.startsWith('Failed to update vector: ')) { const status = e.message.split(' ')[4]; if (status?.startsWith('4')) handlePermanent(e); else await retryWithBackoff(() => memory.update(id, data), 3); } else throw e; }

When it happens

Trigger: memory.update(id, ...) with a new embedding whose length differs from the index dims; token without write scope; wrong accountId/indexName; metadata values not serializable to Vectorize's expected schema.

Common situations: Switching embedding models without re-creating the index; read-only tokens used for updates; index recreated under a new name after config was written.

Related errors

• Failed to insert vectors: ${response.status} ${errorText}
• Failed to update vector: ${error instanceof Error ? error.me
• Failed to insert vectors: ${error instanceof Error ? error.m
• Failed to search vectors: ${error instanceof Error ? error.m
• Failed to get vector: ${error instanceof Error ? error.messa

AI-assisted analysis of mem0ai/mem0@001c235229 (2026-08-15). Data as JSON: /api/errors/b294610937e17df7. Report an issue: GitHub.