Add Airbyte integration info (#323)

* Add Airbyte integration info

* Add title and fix images

qdrant-landing/content/documentation/integrations/airbyte.md

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+---
+title: Airbyte
+weight: 1000
+---
+
+# Airbyte
+
+[Airbyte](https://airbyte.com/) is an open-source data integration platform that helps you replicate your data 
+between different systems. It has a [growing list of connectors](https://docs.airbyte.io/integrations) that can 
+be used to ingest data from multiple sources. Building data pipelines is also crucial for managing the data in 
+Qdrant, and Airbyte is a great tool for this purpose.
+
+Airbyte may take care of the data ingestion from a selected source, while Qdrant will help you to build a search 
+engine on top of it. There are three supported modes of how the data can be ingested into Qdrant:
+
+* **Full Refresh Sync**
+* **Incremental - Append Sync**
+* **Incremental - Append + Deduped**
+
+You can read more about these modes in the [Airbyte documentation](https://docs.airbyte.io/integrations/destinations/qdrant).
+
+## Prerequisites
+
+Before you start, make sure you have the following:
+
+1. Airbyte instance, either [Open Source](https://airbyte.com/solutions/airbyte-open-source), 
+   [Self-Managed](https://airbyte.com/solutions/airbyte-enterprise), or [Cloud](https://airbyte.com/solutions/airbyte-cloud). 
+2. Running instance of Qdrant. It has to be accessible by URL from the machine where Airbyte is running. 
+   You can follow the [installation guide](/documentation/guides/installation/) to set up Qdrant.
+
+## Setting up Qdrant as a destination
+
+Once you have a running instance of Airbyte, you can set up Qdrant as a destination directly in the UI.
+Airbyte's Qdrant destination is connected with a single collection in Qdrant. 
+
+![Airbyte Qdrant destination](/documentation/integrations/airbyte/qdrant-destination.png)
+
+### Text processing
+
+Airbyte has some built-in mechanisms to transform your texts into embeddings. You can choose how you want to
+chunk your fields into pieces before calculating the embeddings, but also which fields should be used to
+create the point payload.
+
+![Processing settings](/documentation/integrations/airbyte/processing.png)
+
+### Embeddings
+
+You can choose the model that will be used to calculate the embeddings. Currently, Airbyte supports multiple
+models, including OpenAI and Cohere.
+
+![Embeddings settings](/documentation/integrations/airbyte/embedding.png)
+
+Using some precomputed embeddings from your data source is also possible. In this case, you can pass the field 
+name containing the embeddings and their dimensionality.
+
+![Precomputed embeddings settings](/documentation/integrations/airbyte/precomputed-embedding.png)
+
+### Qdrant connection details
+
+Finally, we can configure the target Qdrant instance and collection. In case you use the built-in authentication
+mechanism, here is where you can pass the token.
+
+![Qdrant connection details](/documentation/integrations/airbyte/qdrant-config.png)
+
+Once you confirm creating the destination, Airbyte will test if a specified Qdrant cluster is accessible and
+might be used as a destination.
+
+## Setting up connection
+
+Airbyte combines sources and destinations into a single entity called a connection. Once you have a destination 
+configured and a source, you can create a connection between them. It doesn't matter what source you use, as 
+long as Airbyte supports it. The process is pretty straightforward, but depends on the source you use.
+
+![Airbyte connection](/documentation/integrations/airbyte/connection.png)
+
+More information about creating connections can be found in the 
+[Airbyte documentation](https://docs.airbyte.com/understanding-airbyte/connections/).