mpnet-model

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Zeeshan13 / VideoAd-Analyzer

Automated video advertisement content analysis system using Sentence Transformers and cosine similarity for yes/no question evaluation. Features text embedding with all-mpnet-base-v2, batch processing, vector indexing, and performance evaluation against human-coded ground truth data.

natural-language-processing text-classification query-engine semantic-similarity cosine-similarity text-analytics batch-processing binary-classification content-analysis performance-evaluation text-embedding document-processing advertisement-analysis sentence-transformers vector-indexing video-ad-evaluation mpnet-model ground-truth-evaluation

Updated Oct 23, 2024
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rusiru-erandaka / RAG_Using_Langchain_and-LlamaIndex

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I implemented this Rag system by using Both Langchain and LlamaIndex Frameworks. As the LLM i have used Mistral-7B-Instruct-v0.2 Open source model. As the embedding model I have used all-mpnet-base-v2.

langchain llama-index mistral-7b rag-pipeline mpnet-model

Updated Nov 3, 2025
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