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Kacper ŁukawskiandAtita Arora
7d724fb0cd
* Add first draft of the retrieval quality tutorial * Adjust tutorial weight * Remove non-default collection config to simplify the tutorial * Add link to (N)DCG article * Fix typo * Add info about the distance function * Apply suggestions from code review Co-authored-by: Atita Arora <atarora@users.noreply.github.com> * Add link to IVF --------- Co-authored-by: Atita Arora <atarora@users.noreply.github.com>
2.8 KiB
2.8 KiB
title, weight, is_empty, aliases
| title | weight | is_empty | aliases | ||
|---|---|---|---|---|---|
| Tutorials | 23 | false |
|
Tutorials
These tutorials demonstrate different ways you can build vector search into your applications.
| Tutorial | Description | Stack |
|---|---|---|
| Configure Optimal Use | Configure Qdrant collections for best resource use. | Qdrant |
| Separate Partitions | Serve vectors for many independent users. | Qdrant |
| Bulk Upload Vectors | Upload a large scale dataset. | Qdrant |
| Create Dataset Snapshots | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant |
| Semantic Search for Beginners | Create a simple search engine locally in minutes. | Qdrant |
| Simple Neural Search | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI |
| Aleph Alpha Search | Build a multimodal search that combines text and image data. | Qdrant, Aleph Alpha |
| Mighty Semantic Search | Build a simple semantic search with an on-demand NLP service. | Qdrant, Mighty |
| Asynchronous API | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python |
| Multitenancy with LlamaIndex | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex |
| HuggingFace datasets | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets |
| Measure retrieval quality | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets |
| Troubleshooting | Solutions to common errors and fixes | Qdrant |