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Fix Docs : minor grammar fixes (#2218)

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* fix(docs): fix typos and some links in documentation

* fix(docs): correct typo in filtering.md

* Update qdrant-landing/content/documentation/headless/snippets/inference/jinaai-upsert/generated/typescript.md

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>

* Update qdrant-landing/content/documentation/headless/snippets/inference/multiple/generated/typescript.md

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>

* Update qdrant-landing/content/documentation/hybrid-cloud/configure-scale-upgrade.md

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>

* Update qdrant-landing/content/documentation/cloud-api.md

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>

---------

Co-authored-by: Abdon Pijpelink <abdon.pijpelink@qdrant.com>
This commit is contained in:
Mohamed Arbi
2026-03-26 17:23:36 +01:00
committed by GitHub
co-authored by Abdon Pijpelink
parent 3f3ef1ad20
commit c0db45ed8f
58 changed files with 75 additions and 75 deletions
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qdrant-landing/content/documentation/examples/rag-chatbot-red-hat-openshift-haystack.md
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@@ -237,7 +237,7 @@ search_pipeline = Pipeline()
```
Our second process takes user input, converts it into embeddings and then searches for the most relevant documents
using the query embedding. This might look familiar, but we arent working with `Document` instances
using the query embedding. This might look familiar, but we aren't working with `Document` instances
anymore, since the query only accepts raw text. Thus, some of the components will be different, especially the embedder,
as it has to accept a single string as an input and produce a single embedding as an output: