This repo contains a collection of tutorials, demos, and how-to guides on how to use Qdrant and adjacent technologies.
| Example | Description | Technologies |
|---|---|---|
| Huggingface Spaces with Qdrant | Host a public demo quickly for your similarity app with HF Spaces and Qdrant Cloud | HF Spaces, CLIP, semantic image search |
| QA which is always updated: Recency and Cohere using Llama Index | Notebook which demonstrates how you can keep your QA system always use updated information | Llama Index, OpenAI Embeddings, Cohere Reranker |
| Qdrant 101 - Getting Started | Introduction to semantic search and the recommendation API of Qdrant | NumPy and Faker |
| Qdrant 101 - Text Data | Introduction to the intersection of Vector Databases and Natural Language Processing | transformers, datasets, GPT-2, Sentence Transformers, PyTorch |
| Qdrant 101 - Audio Data | Introduction to audio data, audio embeddings, and music recommendation systems | transformers, librosa, openl3, panns_inference, streamlit, datasets, PyTorch |
| Ecommerce - reverse image search | Notebook demonstrating how to implement a reverse image search for ecommerce | CLIP, semantic image search, Sentence-Transformers |
| Serverless Semantic Search | Get a semantic page search without setting up a server | Rust, AWS lambda, Cohere embedding |
| Basic RAG | Basic RAG pipeline with Qdrant and OpenAI SDKs | OpenAI, Qdrant, FastEmbed |