e5-embeddings

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661K-vector semantic indexing across 6 datasets. e5-large-v2 embeddings, FAISS IndexFlatIP. Foundational batch (superseded by batch-02).

python nlp semantic-search faiss vector-database e5-embeddings

Semantic search framework for research archives. FAISS indices, e5-large-v2 embeddings, 4,600+ docs, 10 institutions, methodology docs.

Large-scale semantic indexing pipelines producing 8.35M+ vectors across Wikipedia, ArXiv, and StackExchange using e5-large-v2 and FAISS.

python semantic-search large-scale faiss rag vector-database e5-embeddings

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