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Merge branch 'master' into fix/monitoring-logging-doc-typos

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Mohamed Arbi
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qdrant-landing/content/documentation/tutorials-and-examples/cloud-inference-hybrid-search.md
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In this tutorial, we'll walkthrough building a **hybrid semantic search engine** using Qdrant Cloud's built-in [inference](/documentation/cloud/inference/) capabilities. You'll learn how to:
- Automatically embed your data using [cloud Inference](/documentation/cloud/inference/) without needing to run local models,
- Combine dense semantic embeddings with [sparse BM25 keywords](https://qdrant.tech/documentation/advanced-tutorials/reranking-hybrid-search/), and
- Perform hybrid search using [Reciprocal Rank Fusion (RRF)](https://qdrant.tech/documentation/concepts/hybrid-queries/) to retrieve the most relevant results.
- Combine dense semantic embeddings with [sparse BM25 keywords](https://qdrant.tech/documentation/tutorials-search-engineering/reranking-hybrid-search/), and
- Perform hybrid search using [Reciprocal Rank Fusion (RRF)](/documentation/search/hybrid-queries/) to retrieve the most relevant results.
## Initialize the Client
Initialize the Qdrant client after creating a [Qdrant Cloud account](/documentation/cloud/) and a [dedicated paid cluster](/documentation/cloud/create-cluster/). Set `cloud_inference` to `True` to enable [cloud inference](/documentation/cloud/inference/).
@@ -41,7 +41,7 @@ Create a sample query:
{{< code-snippet path="/documentation/headless/snippets/cloud-inference/vector-search/create-sample-query/" >}}
## Run Vector Search
Here, you will ask a question that will allow you to retrieve semantically relevant results. The final results are obtained by reranking using [Reciprocal Rank Fusion](https://qdrant.tech/documentation/concepts/hybrid-queries/#hybrid-search).
Here, you will ask a question that will allow you to retrieve semantically relevant results. The final results are obtained by reranking using [Reciprocal Rank Fusion](/documentation/search/hybrid-queries/#hybrid-search).
{{< code-snippet path="/documentation/headless/snippets/cloud-inference/vector-search/run-vector-search/" >}}