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Hyperlint Automation: Broken Link Fixes #19857

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Feb 12, 2025
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Hyperlint Automation: Broken Link Fixes #19857

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55d1d1b
Fix issue: WorkspaceTaskSubType.BROKEN_LINK
hyperlint-ai[bot] Feb 9, 2025
59ce8ac
Fix issue: WorkspaceTaskSubType.BROKEN_LINK
hyperlint-ai[bot] Feb 9, 2025
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6 changes: 3 additions & 3 deletions src/content/docs/reference-architecture/diagrams/ai/ai-asset-creation.mdx
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Expand Up @@ -35,12 +35,12 @@ Example uses of such compositions of AI models can be employed to generation vis

1. **Client upload**: Send POST request with content to API endpoint.
2. **Prompt generation**: Generate prompt for later-stage text-to-image model by calling [Workers AI](/workers-ai/) [text generation models](/workers-ai/models/) with content as input.
3. **Safety check**: Check for compliance with safety guidelines by calling [Workers AI](/workers-ai/) [text classification models](/workers-ai/models/#text-classification) with the previously generated prompt as input.
4. **Image generation**: Generate image by calling [Workers AI](/workers-ai/) [text-to-image models](/workers-ai/models/#text-to-image) previously generated prompt.
3. **Safety check**: Check for compliance with safety guidelines by calling [Workers AI](/workers-ai/) [text classification models](/workers-ai/models/) with the previously generated prompt as input.
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@hyperlint-ai hyperlint-ai bot Feb 9, 2025

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This page: http://localhost:1111/reference-architecture/diagrams/ai/ai-asset-creation/
has a broken internal link to: http://localhost:1111/workers-ai/models/.
The fragment text-classification does not exist.

By looking at the page: http://localhost:1111/workers-ai/models/
There was no ideal replacement found and so we removed the header link.

4. **Image generation**: Generate image by calling [Workers AI](/workers-ai/) [text-to-image models](/workers-ai/models/) previously generated prompt.

## Related resources

- [Community project: content-based asset creation demo](https://auto-asset.pages.dev/)
- [Workers AI: Text generation models](/workers-ai/models/)
- [Workers AI: Text-to-image models](/workers-ai/models/#text-to-image)
- [Workers AI: Text-to-image models](/workers-ai/models/)
- [Workers AI: llamaguard-7b-awq](/workers-ai/models/llamaguard-7b-awq/)
6 changes: 3 additions & 3 deletions src/content/docs/reference-architecture/diagrams/ai/ai-rag.mdx
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Expand Up @@ -32,7 +32,7 @@ In the context of Retrieval-Augmented Generation (RAG), knowledge seeding involv
1. **Client upload**: Send POST request with documents to API endpoint.
2. **Input processing**: Process incoming request using [Workers](/workers/) and send messages to [Queues](/queues/) to add processing backlog.
3. **Batch processing**: Use [Queues](/queues/) to trigger a [consumer](/queues/reference/how-queues-works/#consumers) that process input documents in batches to prevent downstream overload.
4. **Embedding generation**: Generate embedding vectors by calling [Workers AI](/workers-ai/) [text embedding models](/workers-ai/models/#text-embeddings) for the documents.
4. **Embedding generation**: Generate embedding vectors by calling [Workers AI](/workers-ai/) [text embedding models](/workers-ai/models/) for the documents.
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@hyperlint-ai hyperlint-ai bot Feb 9, 2025

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This page: http://localhost:1111/reference-architecture/diagrams/ai/ai-rag/
has a broken internal link to: http://localhost:1111/workers-ai/models/.
The fragment text-embeddings does not exist.

By looking at the page: http://localhost:1111/workers-ai/models/
There was no ideal replacement found and so we removed the header link.

5. **Vector storage**: Insert the embedding vectors to [Vectorize](/vectorize/).
6. **Document storage**: Insert documents to [D1](/d1/) for persistent storage.
7. **Ack/Retry mechanism**: Signal success/error by using the [Queues Runtime API](/queues/configuration/javascript-apis/#message) in the consumer for each document. [Queues](/queues/) will schedule retries, if needed.
Expand All @@ -42,13 +42,13 @@ In the context of Retrieval-Augmented Generation (RAG), knowledge seeding involv
![Figure 2: Knowledge queries](~/assets/images/reference-architecture/rag-ref-architecture-diagrams/rag-architecture-query.svg "Figure 2: Knowledge queries")

1. **Client query**: Send GET request with query to API endpoint.
2. **Embedding generation**: Generate embedding vectors by calling [Workers AI](/workers-ai/) [text embedding models](/workers-ai/models/#text-embeddings) for the incoming query.
2. **Embedding generation**: Generate embedding vectors by calling [Workers AI](/workers-ai/) [text embedding models](/workers-ai/models/) for the incoming query.
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@hyperlint-ai hyperlint-ai bot Feb 9, 2025

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This page: http://localhost:1111/reference-architecture/diagrams/ai/ai-rag/
has a broken internal link to: http://localhost:1111/workers-ai/models/.
The fragment text-embeddings does not exist.

By looking at the page: http://localhost:1111/workers-ai/models/
There was no ideal replacement found and so we removed the header link.

3. **Vector search**: Query [Vectorize](/vectorize/) using the vector representation of the query to retrieve related vectors.
4. **Document lookup**: Retrieve related documents from [D1](/d1/) based on search results from [Vectorize](/vectorize/).
5. **Text generation**: Pass both the original query and the retrieved documents as context to [Workers AI](/workers-ai/) [text generation models](/workers-ai/models/#text-generation) to generate a response.

## Related resources

- [Tutorial: Build a RAG AI](/workers-ai/tutorials/build-a-retrieval-augmented-generation-ai/)
- [Workers AI: Text embedding models](/workers-ai/models/#text-embeddings)
- [Workers AI: Text embedding models](/workers-ai/models/)
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@hyperlint-ai hyperlint-ai bot Feb 9, 2025

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This page: http://localhost:1111/reference-architecture/diagrams/ai/ai-rag/
has a broken internal link to: http://localhost:1111/workers-ai/models/.
The fragment text-embeddings does not exist.

By looking at the page: http://localhost:1111/workers-ai/models/
There was no ideal replacement found and so we removed the header link.

- [Workers AI: Text generation models](/workers-ai/models/#text-generation)