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title: Tutorials
weight: 23
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aliases:
  - how-to
  - tutorials
---

# Tutorials 

These tutorials demonstrate different ways you can build vector search into your applications. 

| Tutorial              | Description                                  | Stack  |   
|-----------------------|----------------------------------------------|--------|
| [Optimize Qdrant](../tutorials/optimize/)       | Configure Qdrant for best resource use.       | Qdrant |  
| [Separate Partitions](../tutorials/multiple-partitions/)   | Serve vectors for many independent users.     | Qdrant |   
| [Bulk Upload](../tutorials/bulk-upload/)           | Upload a large scale dataset.                 | Qdrant | 
| [Troubleshooting](../tutorials/common-errors/)       | Solutions to common errors and fixes                      | Qdrant |  


# Notebooks

Complex instructions that are supported with a throrough explanation. Follow along by trying out the code and get the most out of each example.

| Jupyter Notebook             | Description                                  | Stack  |   
|-----------------------|----------------------------------------------|--------|
| [Build a Q&A Engine](https://githubtocolab.com/qdrant/examples/blob/master/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb)    | Design a question/answer system that updates. | Qdrant, LlamaIndex, Cohere |