https://github.com/qdrant/examples
A collection of examples and tutorials for Qdrant vector search engine
https://github.com/qdrant/examples
Last synced: 10 months ago
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A collection of examples and tutorials for Qdrant vector search engine
- Host: GitHub
- URL: https://github.com/qdrant/examples
- Owner: qdrant
- License: apache-2.0
- Created: 2023-03-29T09:02:48.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2025-06-17T06:55:45.000Z (11 months ago)
- Last Synced: 2025-06-17T07:42:36.398Z (11 months ago)
- Language: Jupyter Notebook
- Size: 149 MB
- Stars: 167
- Watchers: 5
- Forks: 58
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Qdrant Examples
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](./hf-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](./llama_index_recency) | Notebook which demonstrates how you can keep your QA system always use updated information | Llama Index, OpenAI Embeddings, Cohere Reranker |
| [Qdrant 101 - Getting Started](./qdrant_101_getting_started) | Introduction to semantic search and the recommendation API of Qdrant | NumPy and Faker |
| [Qdrant 101 - Text Data](./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](./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](./ecommerce_reverse_image_search) | Notebook demonstrating how to implement a reverse image search for ecommerce | CLIP, semantic image search, Sentence-Transformers |
| [Serverless Semantic Search](./lambda-search) | Get a semantic page search without setting up a server | Rust, AWS lambda, Cohere embedding |
| [Basic RAG](./rag-openai-qdrant) | Basic RAG pipeline with Qdrant and OpenAI SDKs | OpenAI, Qdrant, FastEmbed |
| [Step-back prompting in Langchain RAG](./langchain-qdrant-step-back-prompting) | Step-back prompting for RAG, implemented in Langchain | OpenAI, Qdrant, Cohere, Langchain |
| [Collaborative Filtering and MovieLens](./sparse-vectors-movies-reco) | A notebook demonstrating how to build a collaborative filtering system using Qdrant | Sparse Vectors, Qdrant |
| [Use semantic search to navigate your codebase](./code-search/) | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina |