GitHub / inboxpraveen / context-search-engine

A simple interface where users can search for contextually relevant text passages in documents. It employs DistilBERT model for semantic embeddings and FAISS for efficient similarity search. When users enter a query, the system returns the most contextually relevant text passage from the corpus and highlights the matched keywords.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inboxpraveen%2Fcontext-search-engine

Topics: bert, bert-embeddings, context-aware, context-embeddings, huggingface, huggingface-transformers, language-model, machine-learning, natural-language-processing, nlp, search-engine, search-engine-optimization, vector, vector-database, vectors

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