langgenius / dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
https://dify.ai
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I chose Jina as the Embedding Model, and the created knowledge base is displayed in the queue. I checked the method you provided above, and I confirmed that it was a fault in the Dify backend. #6336

Closed Sam-gz closed 2 months ago

Sam-gz commented 2 months ago

Self Checks

Dify version

0.6.14

Cloud or Self Hosted

Cloud

Steps to reproduce

Jina

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

dosubot[bot] commented 2 months ago

The .xlsx files are stuck in the "Queuing" status when using Jina as the Embedding Model in the Dify backend because the rate limit has been reached for the Embedding model API key used. Additionally, it could be due to other issues such as the embedding model not being configured, the model quota being exceeded, or the dataset not being initialized.

Please check the following:

  1. Rate Limit: Ensure that the rate limit for the Embedding model API key has not been reached.
  2. Configuration: Verify that the embedding model is properly configured.
  3. Quota: Check if the model quota has been exceeded.
  4. Dataset Initialization: Ensure that the dataset is initialized.

Supporting evidence:

"Please check if the rate limit has been reached for the Embedding model API key used." "Error Messages: provider_not_initialize: Embedding model not configured, provider_quota_exceeded: Model quota exceeded, dataset_not_initialized: Dataset not initialized." [1][2].

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crazywoola commented 2 months ago

Link https://github.com/langgenius/dify/issues/6322

crazywoola commented 2 months ago

Fixed, our storage is full, we have cleaned some old data to make sure things going well.