context-search-engine
PublicA 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.
bertbert-embeddingscontext-awarecontext-embeddingshuggingfacehuggingface-transformerslanguage-modelmachine-learningnatural-language-processingnlp
Creat:2023-10-09T01:37:19
Update:2024-10-17T14:33:26
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