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fix: broken links, images (#475)
* fix: broken links, images * fix: aliases
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@@ -1,7 +1,7 @@
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---
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title: Airbyte
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weight: 1000
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aliases: [ /integrations/airbyte/ ]
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aliases: [ ../integrations/airbyte/ ]
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---
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# Airbyte
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@@ -34,7 +34,7 @@ Before you start, make sure you have the following:
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Once you have a running instance of Airbyte, you can set up Qdrant as a destination directly in the UI.
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Airbyte's Qdrant destination is connected with a single collection in Qdrant.
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### Text processing
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@@ -42,26 +42,26 @@ Airbyte has some built-in mechanisms to transform your texts into embeddings. Yo
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chunk your fields into pieces before calculating the embeddings, but also which fields should be used to
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create the point payload.
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### Embeddings
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You can choose the model that will be used to calculate the embeddings. Currently, Airbyte supports multiple
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models, including OpenAI and Cohere.
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Using some precomputed embeddings from your data source is also possible. In this case, you can pass the field
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name containing the embeddings and their dimensionality.
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### Qdrant connection details
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Finally, we can configure the target Qdrant instance and collection. In case you use the built-in authentication
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mechanism, here is where you can pass the token.
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Once you confirm creating the destination, Airbyte will test if a specified Qdrant cluster is accessible and
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might be used as a destination.
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@@ -72,7 +72,7 @@ Airbyte combines sources and destinations into a single entity called a connecti
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configured and a source, you can create a connection between them. It doesn't matter what source you use, as
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long as Airbyte supports it. The process is pretty straightforward, but depends on the source you use.
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More information about creating connections can be found in the
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[Airbyte documentation](https://docs.airbyte.com/understanding-airbyte/connections/).
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