I created this repository to explore various search relevance techniques by developing tutorials 🏗️, creating Hugging Face 🤗 spaces and demos, and compiling useful resources 📚.
Quora Similar Questions Finder: 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: 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.
Feel free to contribute by sharing your insights, improvements, or any useful resources related to search relevance.
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