https://github.com/yahyaalaamassoud/learn-search-relevance
Exploring search relevance techniques.
https://github.com/yahyaalaamassoud/learn-search-relevance
artificial-intelligence machine-learning reranking retrieval-systems search-relevance semantic-search
Last synced: about 2 months ago
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Exploring search relevance techniques.
- Host: GitHub
- URL: https://github.com/yahyaalaamassoud/learn-search-relevance
- Owner: YahyaAlaaMassoud
- License: mit
- Created: 2024-03-05T17:51:20.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-25T14:23:28.000Z (about 2 years ago)
- Last Synced: 2026-04-13T07:37:05.073Z (about 2 months ago)
- Topics: artificial-intelligence, machine-learning, reranking, retrieval-systems, search-relevance, semantic-search
- Language: Jupyter Notebook
- Homepage:
- Size: 123 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Search Relevance Repository 🔍
I created this repository to explore various search relevance techniques by developing tutorials 🏗️, creating Hugging Face 🤗 spaces and demos, and compiling useful resources 📚.
### List of tutorials 📖
- [`Quora Similar Questions Finder`](https://yalaa-quora-similar-questions.hf.space): Hugging Face 🤗 Space. A demonstration of constructing a vector index database with Qdrant using questions from Quora. It then employs semantic search to identify the top K questions most similar to the user's input.
- [`Semantic Search on Simple Wikipedia Through Retrieval and Reranking`](https://huggingface.co/spaces/yalaa/simplewiki-retrieve-rerank): Hugging Face 🤗 Space. Based on the user's input question or query, the algorithm searches through ~250k passages to find the top K relevant passages to the query, then reranks the results and outputs the top article with the relevant passage highlighted. Qdrant is used as a vector store, and SentenceTransformers are used for generating embeddings and reranking through cross-encoders. Finally, the demo is powered by Gradio.
### Contributing 💡
Feel free to contribute by sharing your insights, improvements, or any useful resources related to search relevance.
### Stay Connected 🤝
Star or watch this repository for updates on new tutorials and resources. Your support helps this project grow.