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* Add a tutorial on building Cohere RAG connector * Add social preview image * Reformat code examples * Fix text * Change the social preview image (previous was too long) * Fix a confusing sentence * Fix a confusing sentence
3.6 KiB
3.6 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 |
| Use semantic search to navigate your codebase | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina |
| Implement custom connector for Cohere RAG | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI |
| Troubleshooting | Solutions to common errors and fixes | Qdrant |