--- title: Tutorials weight: 23 # If the index.md file is empty, the link to the section will be hidden from the sidebar is_empty: false aliases: - how-to - tutorials --- # Tutorials These tutorials demonstrate different ways you can build vector search into your applications. | Tutorial | Description | Stack | |-----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------|--------------------------------------------------------------------------| | [Configure Optimal Use](../tutorials/optimize/) | Configure Qdrant collections for best resource use. | Qdrant | | [Separate Partitions](../tutorials/multiple-partitions/) | Serve vectors for many independent users. | Qdrant | | [Bulk Upload Vectors](../tutorials/bulk-upload/) | Upload a large scale dataset. | Qdrant | | [Create Dataset Snapshots](../tutorials/create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant | | [Semantic Search for Beginners](../tutorials/search-beginners/) | Create a simple search engine locally in minutes. | Qdrant | | [Simple Neural Search](../tutorials/neural-search/) | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI | | [Aleph Alpha Search](../tutorials/aleph-alpha-search/) | Build a multimodal search that combines text and image data. | Qdrant, Aleph Alpha | | [Mighty Semantic Search](../tutorials/mighty/) | Build a simple semantic search with an on-demand NLP service. | Qdrant, Mighty | | [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python | | [Multitenancy with LlamaIndex](../tutorials/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex | | [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 | | [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant |