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opened 2026-02-22 18:18:56 -05:00 by yindo
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5676-bug-non-ollama-agent-providers-do-not-parse-and-present-reasoning-content
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5583-bug-lm-studio-provider-does-not-present-reasoning-output
5313-normalize-translations
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4792-feat-refactor-workspacepfp-image
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4615-feat-disable-apidocs-with-environment-variable
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4572-bug-lmstudio-provided-llm-stopped-working-with-anything-llm-after-upgrading-to-190
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4325-sys-prompt-var-improvements
3209-feat-apiv1workspacestream-chat-sources-citations
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4172-feat-openai-o3-support
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3955-feat-jinaai-embedder-provider-support
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3586-bug-agent-flow-function-description-provided-by-user-is-not-seen-in-the-llm-query
3463-bug-agent-continues-to-run-if-request-failed-even-after-exit
3439-feat-call-variables-within-the-flow-api-block-url-field
3282-manager-view-models-workspace
3280-token-counting-server-side-truncation-improvements
3147-bug-embedded-chat-widget---not-considering-query-mode-option-always-working-in-chat-mode
2995-feat-disable-temperature-setting-for-deepseek-r1-deepseek-reasoner-model
2827-feat-perplexity-citations
2866-feat-finally-a-gemini-models-endpoint
2647-feat-hpp-header-for-a-c++-code-file-mime-addition
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1656-feat-implement-tooltip-ui-designs
2011-feat-bump-perplexity-models
1873-feat-auto-add-and-watch-folder-for-document-uploads
1297-feat-gemini-agent-support
1759-bug-ui-bug-fixes
1686-feat-implement-winston-for-logging
1536-bug-toggling-on-users-can-delete-workspaces-does-not-take-effect
agent-ui-mobile-styles
1522-feat-chromadb-support
1595-bug-unable-to-get-live-web-search-and-browsing-agent-working-using-google-custom-search-engine-error-getaddrinfo-enotfound-http-errno-3008
1582-bug-lm-studio-does-not-allow-for-different-model-selection
1312-bug-usernames-should-not-be-case-sensitive-when-logging-in
1029-feat-hf-serverless-inference-api
1086-feat-implement-normalized-input-fields
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644-bug-uploaded-file-name-does-not-match-the-displayed-file-name-after-the-upload
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Reference: Mintplex-Labs/anything-llm#322
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Originally created by @stanltam on GitHub (Jan 5, 2024).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/548
LLM: ollama:latest
Embedding: AnythingLLM Embedder
Error Log:
[TELEMETRY SENT] {
event: 'documents_embedded_in_workspace',
distinctId: '4aea0721-0b3f-4014-81dd-d78c248f6b7d',
properties: {
LLMSelection: 'ollama',
Embedder: 'native',
VectorDbSelection: 'lancedb'
}
}
-- Working testing.pdf --
-- Parsing content from pg 1 --
-- Parsing content from pg 2 --
-- Parsing content from pg 3 --
-- Parsing content from pg 4 --
[SUCCESS]: testing.pdf converted & ready for embedding.
Document testing.pdf uploaded processed and successfully. It is now available in documents.
[TELEMETRY SENT] {
event: 'document_uploaded',
distinctId: '4aea0721-0b3f-4014-81dd-d78c248f6b7d',
properties: {}
}
Adding new vectorized document into namespace test
Chunks created from document: 11
[INFO] The native embedding model has never been run and will be downloaded right now. Subsequent runs will be faster. (~23MB)
Failed to load the native embedding model: TypeError: fetch failed
at Object.fetch (node:internal/deps/undici/undici:11730:11)
at processTicksAndRejections (node:internal/process/task_queues:95:5)
at runNextTicks (node:internal/process/task_queues:64:3)
at process.processImmediate (node:internal/timers:447:9)
at async getModelFile (file:///app/server/node_modules/@xenova/transformers/src/utils/hub.js:470:24)
at async getModelJSON (file:///app/server/node_modules/@xenova/transformers/src/utils/hub.js:574:18)
at async Promise.all (index 0)
at async loadTokenizer (file:///app/server/node_modules/@xenova/transformers/src/tokenizers.js:52:16)
at async AutoTokenizer.from_pretrained (file:///app/server/node_modules/@xenova/transformers/src/tokenizers.js:3920:48)
at async Promise.all (index 0) {
cause: ConnectTimeoutError: Connect Timeout Error
at onConnectTimeout (node:internal/deps/undici/undici:6869:28)
at node:internal/deps/undici/undici:6825:50
at Immediate._onImmediate (node:internal/deps/undici/undici:6857:13)
at process.processImmediate (node:internal/timers:476:21) {
code: 'UND_ERR_CONNECT_TIMEOUT'
}
}
TypeError: fetch failed
at Object.fetch (node:internal/deps/undici/undici:11730:11)
at processTicksAndRejections (node:internal/process/task_queues:95:5)
at runNextTicks (node:internal/process/task_queues:64:3)
at process.processImmediate (node:internal/timers:447:9)
at async getModelFile (file:///app/server/node_modules/@xenova/transformers/src/utils/hub.js:470:24)
at async getModelJSON (file:///app/server/node_modules/@xenova/transformers/src/utils/hub.js:574:18)
at async Promise.all (index 0)
at async loadTokenizer (file:///app/server/node_modules/@xenova/transformers/src/tokenizers.js:52:16)
at async AutoTokenizer.from_pretrained (file:///app/server/node_modules/@xenova/transformers/src/tokenizers.js:3920:48)
at async Promise.all (index 0) {
cause: ConnectTimeoutError: Connect Timeout Error
at onConnectTimeout (node:internal/deps/undici/undici:6869:28)
at node:internal/deps/undici/undici:6825:50
at Immediate._onImmediate (node:internal/deps/undici/undici:6857:13)
at process.processImmediate (node:internal/timers:476:21) {
code: 'UND_ERR_CONNECT_TIMEOUT'
}
}
addDocumentToNamespace fetch failed
Failed to vectorize custom-documents/testing.pdf-36edd41c-d784-454f-a885-a4b73a558ce7.json
[TELEMETRY SENT] {
event: 'documents_embedded_in_workspace',
distinctId: '4aea0721-0b3f-4014-81dd-d78c248f6b7d',
properties: {
LLMSelection: 'ollama',
Embedder: 'native',
VectorDbSelection: 'lancedb'
}
}
@timothycarambat commented on GitHub (Jan 5, 2024):
@stanltam Are you running AnythingLLM in a docker container on a MacBook with an M-series chip?
@bioone commented on GitHub (Jan 5, 2024):
i'm the same error ,i run AnythingLLM in a docker container on a ubuntu system
@timothycarambat commented on GitHub (Jan 5, 2024):
@bioone This error is not AnythingLLM. Its a timeout on xenova/transformers downloading from huggingface. If you are having trouble embedding with the native embedder then you can swap to any other provider and re-embed documents.
Will look into if there is a way we can either pre-bake the native embedder into the image or increase the timeout
@bioone commented on GitHub (Jan 6, 2024):
@timothycarambat OK, I hope you can pre-bake the native embedder, it's very useful!!!
@Rainmanqxy commented on GitHub (Apr 2, 2024):
Hi there! Any updates on the issue? I still encounter the problem to embed PDF files in workspace (using LanceDB). I'm using LM Studio with Anything LLM...
@warrior-dl commented on GitHub (Apr 3, 2024):
I deployed using Docker, but encountered an error when importing files, indicating a timeout.
@timothycarambat commented on GitHub (Apr 3, 2024):
@warrior-dl see pinned issue. HF is blocking your IP
https://github.com/Mintplex-Labs/anything-llm/issues/821
@warrior-dl commented on GitHub (Apr 3, 2024):
Thank you very much, I successfully imported the file after manually downloading the model.
@ZiHAO-LI-cmd commented on GitHub (Apr 9, 2024):
@warrior-dl Hi, could you please tell me how to manually download the embedding model? Where should the model be downloaded?
@warrior-dl commented on GitHub (Apr 19, 2024):
https://github.com/Mintplex-Labs/anything-llm/issues/821#issuecomment-1968382359
Failed to upload files in workspace with failed to embeed errorto [GH-ISSUE #548] Failed to upload files in workspace with failed to embeed error