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docs: fix broken links,typos,and standardize framework casing

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2025-12-20 15:59:32 +01:00
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qdrant-landing/content/documentation/examples/cohere-rag-connector.md
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@@ -30,7 +30,7 @@ This tutorial guides you step by step on building such a service around Qdrant.
## Qdrant connector
You probably already have some collections you would like to bring to the LLM. Maybe your pipeline was set up using some
of the popular libraries such as Langchain, Llama Index, or Haystack. Cohere connectors may implement even more complex
of the popular libraries such as LangChain, LlamaIndex, or Haystack. Cohere connectors may implement even more complex
logic, e.g. hybrid search. In our case, we are going to start with a fresh Qdrant collection, index data using Cohere
Embed v3, build the connector, and finally connect it with the [Command-R model](https://txt.cohere.com/command-r/).