Embedding issue with 0.3.3

[usernotnull]

I'm using LM Studio to do embeddings with Obsidian.
With version 0.3.3, the embeddings stopped working.

Here is a sample error I'm getting:

2024-10-05 15:17:50  [INFO] Received request to embed multiple:  ["A Folder > A Title\nBLOCK NOT FOUND (no line_start)"]
2024-10-05 15:17:50 [DEBUG] [INFO] [LlamaEmbeddingEngine] All parsed chunks succesfully embedded!
2024-10-05 15:17:50  [INFO] Returning embeddings (not shown in logs)
2024-10-05 15:17:50  [INFO] Received request to embed multiple:  ["Another Folder> Another Title:\n---\nup: [\"[[Somewhere]]\"]\nrelated: []\ntags: [o..."]
2024-10-05 15:17:50 [DEBUG]
llama_decode_internal: n_tokens == 0
llama_decode: failed to decode, ret = -1
2024-10-05 15:17:50 [DEBUG] [lmstudio-llama-cpp] LLM: Embedding failed: Failed during string embedding. Message: Unknown exception caused embedding to stop: Failed to decode batch! Error: n_tokens = 0
2024-10-05 15:17:50 [ERROR] [Server Error] {"title":"Failed to embed string","cause":"Failed during string embedding. Message: Unknown exception caused embedding to stop: Failed to decode batch! Error: n_tokens = 0"}

The embedding was fine up to 0.3.2.

You can find the issue here: brianpetro/obsidian-smart-connections#645 (comment)

[yagil]

Thanks @usernotnull we will investigate

[mattjcly]

Hi @usernotnull, would you be able to provide me with the following information:

1. What operating system are you using? (Windows, MacOS, Linux)
2. What LM Runtime are you using? You can find this information from the "Developer"->"LM Runtimes" page
   
3. If possible, would you be able to provide me with the entire exact input string from 2024-10-05 15:17:50 [INFO] Received request to embed multiple: ["Another Folder> Another Title:\n---\nup: [\"[[Somewhere]]\"]\nrelated: []\ntags: [o..."] that results in this error, so that we can try to reproduce the error ourselves?

Thanks for reporting this, we want to resolve this ASAP

[jagai]

@mattjcly This is occurring so far on MacOS Sequoia (myself) and Win11 (@usernotnull).

As for myself, I'm using the Metal llama.cpp Runtime 1.1.9. Tested on 1.1.8 too and fails to process when upgrading to LM Studio 0.3.3.

2024-10-07 02:36:55  [INFO] Received request to embed multiple:  ["resources > arrayable > dataset-feedbacks:\n---\ntitle: Feedback Datasets\nslug: research-employee-enga..."]
2024-10-07 02:36:55 [DEBUG] llama_decode_internal: n_tokens == 0llama_decode: failed to decode, ret = -1
2024-10-07 02:36:55 [DEBUG] [lmstudio-llama-cpp] LLM: Embedding failed: Failed during string embedding. Message: Unknown exception caused embedding to stop: Failed to decode batch! Error: n_tokens = 0
2024-10-07 02:36:55 [ERROR] [Server Error] {"title":"Failed to embed string","cause":"Failed during string embedding. Message: Unknown exception caused embedding to stop: Failed to decode batch! Error: n_tokens = 0"}

This is the file it fails on: pd-research-employee_net_promoter_score.md.md.zip

Let me know if there's anything else that can be done to help 🙏🏻

[usernotnull]

Correct. Win11.

{
  "result": {
    "code": "Success",
    "message": ""
  },
  "cpuInfo": {
    "architecture": "x86_64",
    "supportedInstructionSetExtensions": [
      "AVX",
      "AVX2"
    ]
  }
}

gguf
runtime: CUDA llama.cpp (Windows) v1.1.10
{
  "result": {
    "code": "Success",
    "message": ""
  },
  "gpuInfo": [
    {
      "name": "NVIDIA GeForce RTX 3060 Laptop GPU",
      "deviceId": 0,
      "totalMemoryCapacityBytes": 6441926656,
      "dedicatedMemoryCapacityBytes": 0,
      "integrationType": "Discrete",
      "detectionPlatform": "CUDA",
      "detectionPlatformVersion": "",
      "otherInfo": {}
    }
  ]
}

VRAM
gguf
runtime: CUDA llama.cpp (Windows) v1.1.10
vramCapacity: 6.00 GB

[mattjcly]

@jagai and @usernotnull much appreciate the quick response and info! Very useful.

Could I ask, how exactly are you calling into the LM Studio embeddings API through Obsidian with this PDF? Or even simpler, how could I reproduce the exact same situation by using Obsidian and this PDF myself?

[usernotnull]

@mattjcly we're actually unofficially editing a plugin (smart connections) to call for the embeddings through LM Studio because doing the embeddings with obsidian doesn't take advantage of the full power of the GPU and embeddings takes ages.
Enabling custom endpoints officially is on the road map, but resolving this issue that arose in 0.3.3 early is appreciated.

The thread describes the steps to enable obsidian's smart connections plugin to do so.
We can assist if you have any questions.

[mattjcly]

We have a reproduction of the issue, and a fix. Thanks for all your help. Will be fixed and released ASAP.

[jagai]

@mattjcly, thanks a ton for handling this so quickly! I noticed the update while I was working on providing more details 😄

For your information, or for future reference, I’m posting a link to the modifications made in Smart Connections to offload embeddings to LM Studio via the plugin.

brianpetro/obsidian-smart-connections#645 (comment)

[yagil]

Should be fixed in 0.3.4, available at https://lmstudio.ai/download

[usernotnull]

Closing issue.
Tx for the prompt support gents.