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Expand Up @@ -45,10 +45,10 @@ In the context of Retrieval-Augmented Generation (RAG), knowledge seeding involv
2. **Embedding generation**: Generate embedding vectors by calling [Workers AI](/workers-ai/) [text embedding models](/workers-ai/models/) for the incoming query.
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.
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/) to generate a response.
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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-generation 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.


## Related resources

- [Tutorial: Build a RAG AI](/workers-ai/tutorials/build-a-retrieval-augmented-generation-ai/)
- [Workers AI: Text embedding models](/workers-ai/models/)
- [Workers AI: Text generation models](/workers-ai/models/#text-generation)
- [Workers AI: Text generation models](/workers-ai/models/)
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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-generation 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.

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