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Semantic search over the 44 million of English Wikipedia paragraphs using sentence transformers encoder.
The dataset contains:
- 43 911 155 paragraphs from 6 458 670 wikipedia articles stored in a zip archive;
- FAISS index with the embeddings;
- Retriever module for semantic search over the paragraphs.
The size of each paragraph varies from 20 to 2000 characters.
The embedding vector size is 768.
The index is 4-bit-quantized 2-level IVF16384_HNSW32 constructed with the FAISS library.
Sentence encoder: all-mpnet-base-v2.
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