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David Myriel
2024-03-26 06:16:36 -07:00
parent 92aac62384
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qdrant-landing/content/documentation/tutorials/_index.md
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@@ -27,5 +27,5 @@ These tutorials demonstrate different ways you can build vector search into your
| [HuggingFace datasets](../tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets |
| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
| [Use semantic search to navigate your codebase](../tutorials/code-search/) | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina |
| [Personalize learning experience with RAG](../tutorials/student-rag-haystack-red-hat-openshift-hc/) | Speak to the course materials as if you were speaking to the teacher | Qdrant, Red Hat OpenShift, Haystack, Hugging Face, Mistral, Hybrid Cloud |
| [Private Chatbot for Interactive Learning](../tutorials/student-rag-haystack-red-hat-openshift-hc/) | Speak to the course materials as if you were speaking to the teacher | Qdrant, Red Hat OpenShift, Haystack, Hugging Face, Mistral, Hybrid Cloud |
| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant |
qdrant-landing/content/documentation/tutorials/student-rag-haystack-red-hat-openshift-hc.md
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@@ -449,6 +449,9 @@ The response should be similar to the one we got in the Python before:
## Next steps
Haystack's documentation describes [how to deploy the Hayhooks service in a Kubernetes
environment](https://docs.haystack.deepset.ai/docs/kubernetes), so you can easily move it to your own infrastructure
based on Red Hat OpenShift and enjoy all the components running in a secure and private environment.
- In this example, [RedHat OpenShift](https://www.redhat.com/en/technologies/cloud-computing/openshift) is the infrastructure of choice for proprietary chatbots. [Read more](https://access.redhat.com/documentation/en-us/red_hat_openshift_ai_self-managed/2.8) about how to host AI projects in their [extensive documentation](https://access.redhat.com/documentation/en-us/red_hat_openshift_ai_self-managed/2.8).
- [Haystack's documentation](https://docs.haystack.deepset.ai/docs/kubernetes) describes [how to deploy the Hayhooks service in a Kubernetes
environment](https://docs.haystack.deepset.ai/docs/kubernetes), so you can easily move it to your own OpenShift infrastructure.
- If you are just getting started and need more guidance on Qdrant, read the [quickstart](https://qdrant.tech/documentation/quick-start/) or try out our [beginner tutorial](https://qdrant.tech/documentation/tutorials/neural-search/).